Version	2.23.0 (View all)
Compatible Kibana version(s)	8.12.0 or higher
Supported Serverless project types What's this?	Security Observability
Subscription level What's this?	Basic
Level of support What's this?	Elastic

This is an integration for Zeek, which was formerly named Bro. Zeek is a passive, open-source network traffic analyzer. This integrations ingests the logs Zeek produces about the network traffic that it analyzes.

Zeek logs must be output in JSON format. This is normally done by appending the json-logs policy to your local.zeek file. Add this line to your local.zeek.

@load policy/tuning/json-logs.zeek

Compatibility

This module has been developed against Zeek 2.6.1, but is expected to work with other versions of Zeek.

Zeek requires a Unix-like platform, and it currently supports Linux, FreeBSD, and Mac OS X.

Logs

capture_loss

The capture_loss dataset collects the Zeek capture_loss.log file, which contains packet loss rate data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
tags	List of keywords used to tag each event.	keyword
zeek.capture_loss.acks	Total number of ACKs seen in the previous measurement interval.	integer
zeek.capture_loss.gaps	Number of missed ACKs from the previous measurement interval.	integer
zeek.capture_loss.peer	In the event that there are multiple Bro instances logging to the same host, this distinguishes each peer with its individual name.	keyword
zeek.capture_loss.percent_lost	Percentage of ACKs seen where the data being ACKed wasn't seen.	double
zeek.capture_loss.ts_delta	The time delay between this measurement and the last.	integer
zeek.session_id	A unique identifier of the session	keyword

connection

The connection dataset collects the Zeek conn.log file, which contains TCP/UDP/ICMP connection data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.bytes	Bytes sent from the destination to the source.	long
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.mac	MAC address of the destination. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
destination.packets	Packets sent from the destination to the source.	long
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.duration	Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.	long
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.bytes	Total bytes transferred in both directions. If source.bytes and destination.bytes are known, network.bytes is their sum.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.direction	Direction of the network traffic. When mapping events from a host-based monitoring context, populate this field from the host's point of view, using the values "ingress" or "egress". When mapping events from a network or perimeter-based monitoring context, populate this field from the point of view of the network perimeter, using the values "inbound", "outbound", "internal" or "external". Note that "internal" is not crossing perimeter boundaries, and is meant to describe communication between two hosts within the perimeter. Note also that "external" is meant to describe traffic between two hosts that are external to the perimeter. This could for example be useful for ISPs or VPN service providers.	keyword
network.packets	Total packets transferred in both directions. If source.packets and destination.packets are known, network.packets is their sum.	long
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.bytes	Bytes sent from the source to the destination.	long
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.mac	MAC address of the source. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
source.packets	Packets sent from the source to the destination.	long
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.connection.history	Flags indicating the history of the session.	keyword
zeek.connection.icmp.code	ICMP message code.	integer
zeek.connection.icmp.type	ICMP message type.	integer
zeek.connection.inner_vlan	VLAN identifier.	integer
zeek.connection.local_orig	Indicates whether the session is originated locally.	boolean
zeek.connection.local_resp	Indicates whether the session is responded locally.	boolean
zeek.connection.missed_bytes	Missed bytes for the session.	long
zeek.connection.state	Code indicating the state of the session.	keyword
zeek.connection.state_message	The state of the session.	keyword
zeek.connection.vlan	VLAN identifier.	integer
zeek.session_id	A unique identifier of the session	keyword

dce_rpc

The dce_rpc dataset collects the Zeek dce_rpc.log file, which contains Distributed Computing Environment/RPC data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.bytes	Bytes sent from the destination to the source.	long
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.action	The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.bytes	Bytes sent from the source to the destination.	long
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.dce_rpc.endpoint	Endpoint name looked up from the uuid.	keyword
zeek.dce_rpc.named_pipe	Remote pipe name.	keyword
zeek.dce_rpc.operation	Operation seen in the call.	keyword
zeek.dce_rpc.rtt	Round trip time from the request to the response. If either the request or response wasn't seen, this will be null.	integer
zeek.session_id	A unique identifier of the session	keyword

dhcp

The dhcp dataset collects the Zeek dhcp.log file, which contains DHCP lease data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
client.address	Some event client addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.name	Name given by operators to sections of their network.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
server.address	Some event server addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.dhcp.address.assigned	IP address assigned by the server.	ip
zeek.dhcp.address.client	IP address of the client. If a transaction is only a client sending INFORM messages then there is no lease information exchanged so this is helpful to know who sent the messages. Getting an address in this field does require that the client sources at least one DHCP message using a non-broadcast address.	ip
zeek.dhcp.address.mac	Client's hardware address.	keyword
zeek.dhcp.address.requested	IP address requested by the client.	ip
zeek.dhcp.address.server	IP address of the DHCP server.	ip
zeek.dhcp.client_fqdn	FQDN given by client in Client FQDN option 81.	keyword
zeek.dhcp.domain	Domain given by the server in option 15.	keyword
zeek.dhcp.duration	Duration of the DHCP session representing the time from the first message to the last, in seconds.	double
zeek.dhcp.hostname	Name given by client in Hostname option 12.	keyword
zeek.dhcp.id.circuit	(present if policy/protocols/dhcp/sub-opts.bro is loaded) Added by DHCP relay agents which terminate switched or permanent circuits. It encodes an agent-local identifier of the circuit from which a DHCP client-to-server packet was received. Typically it should represent a router or switch interface number.	keyword
zeek.dhcp.id.remote_agent	(present if policy/protocols/dhcp/sub-opts.bro is loaded) A globally unique identifier added by relay agents to identify the remote host end of the circuit.	keyword
zeek.dhcp.id.subscriber	(present if policy/protocols/dhcp/sub-opts.bro is loaded) The subscriber ID is a value independent of the physical network configuration so that a customer's DHCP configuration can be given to them correctly no matter where they are physically connected.	keyword
zeek.dhcp.lease_time	IP address lease interval in seconds.	integer
zeek.dhcp.msg.client	Message typically accompanied with a DHCP_DECLINE so the client can tell the server why it rejected an address.	keyword
zeek.dhcp.msg.origin	(present if policy/protocols/dhcp/msg-orig.bro is loaded) The address that originated each message from the msg.types field.	ip
zeek.dhcp.msg.server	Message typically accompanied with a DHCP_NAK to let the client know why it rejected the request.	keyword
zeek.dhcp.msg.types	List of DHCP message types seen in this exchange.	keyword
zeek.dhcp.software.client	(present if policy/protocols/dhcp/software.bro is loaded) Software reported by the client in the vendor_class option.	keyword
zeek.dhcp.software.server	(present if policy/protocols/dhcp/software.bro is loaded) Software reported by the client in the vendor_class option.	keyword
zeek.session_id	A unique identifier of the session	keyword

dnp3

The dnp3 dataset collects the Zeek dnp3.log file which contains DNP3 requests and replies.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.bytes	Bytes sent from the destination to the source.	long
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.action	The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.bytes	Bytes sent from the source to the destination.	long
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.dnp3.function.reply	The name of the function message in the reply.	keyword
zeek.dnp3.function.request	The name of the function message in the request.	keyword
zeek.dnp3.id	The response's internal indication number.	integer
zeek.session_id	A unique identifier of the session	keyword

dns

The dns dataset collects the Zeek dns.log file which contains DNS activity.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
dns.answers	An array containing an object for each answer section returned by the server. The main keys that should be present in these objects are defined by ECS. Records that have more information may contain more keys than what ECS defines. Not all DNS data sources give all details about DNS answers. At minimum, answer objects must contain the data key. If more information is available, map as much of it to ECS as possible, and add any additional fields to the answer objects as custom fields.	group
dns.answers.class	The class of DNS data contained in this resource record.	keyword
dns.answers.data	The data describing the resource. The meaning of this data depends on the type and class of the resource record.	keyword
dns.answers.name	The domain name to which this resource record pertains. If a chain of CNAME is being resolved, each answer's name should be the one that corresponds with the answer's data. It should not simply be the original question.name repeated.	keyword
dns.answers.ttl	The time interval in seconds that this resource record may be cached before it should be discarded. Zero values mean that the data should not be cached.	long
dns.answers.type	The type of data contained in this resource record.	keyword
dns.header_flags	Array of 2 letter DNS header flags.	keyword
dns.id	The DNS packet identifier assigned by the program that generated the query. The identifier is copied to the response.	keyword
dns.question.class	The class of records being queried.	keyword
dns.question.name	The name being queried. If the name field contains non-printable characters (below 32 or above 126), those characters should be represented as escaped base 10 integers (\DDD). Back slashes and quotes should be escaped. Tabs, carriage returns, and line feeds should be converted to \t, \r, and \n respectively.	keyword
dns.question.registered_domain	The highest registered domain, stripped of the subdomain. For example, the registered domain for "foo.example.com" is "example.com". This value can be determined precisely with a list like the public suffix list (http://publicsuffix.org). Trying to approximate this by simply taking the last two labels will not work well for TLDs such as "co.uk".	keyword
dns.question.subdomain	The subdomain is all of the labels under the registered_domain. If the domain has multiple levels of subdomain, such as "sub2.sub1.example.com", the subdomain field should contain "sub2.sub1", with no trailing period.	keyword
dns.question.top_level_domain	The effective top level domain (eTLD), also known as the domain suffix, is the last part of the domain name. For example, the top level domain for example.com is "com". This value can be determined precisely with a list like the public suffix list (http://publicsuffix.org). Trying to approximate this by simply taking the last label will not work well for effective TLDs such as "co.uk".	keyword
dns.question.type	The type of record being queried.	keyword
dns.resolved_ip	Array containing all IPs seen in answers.data. The answers array can be difficult to use, because of the variety of data formats it can contain. Extracting all IP addresses seen in there to dns.resolved_ip makes it possible to index them as IP addresses, and makes them easier to visualize and query for.	ip
dns.response_code	The DNS response code.	keyword
dns.type	The type of DNS event captured, query or answer. If your source of DNS events only gives you DNS queries, you should only create dns events of type dns.type:query. If your source of DNS events gives you answers as well, you should create one event per query (optionally as soon as the query is seen). And a second event containing all query details as well as an array of answers.	keyword
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.duration	Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.	long
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.original	Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference.	keyword
event.outcome	This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.	keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.dns.AA	The Authoritative Answer bit for response messages specifies that the responding name server is an authority for the domain name in the question section.	boolean
zeek.dns.RA	The Recursion Available bit in a response message indicates that the name server supports recursive queries.	boolean
zeek.dns.RD	The Recursion Desired bit in a request message indicates that the client wants recursive service for this query.	boolean
zeek.dns.TC	The Truncation bit specifies that the message was truncated.	boolean
zeek.dns.TTLs	The caching intervals of the associated RRs described by the answers field.	double
zeek.dns.answers	The set of resource descriptions in the query answer.	keyword
zeek.dns.qclass	The QCLASS value specifying the class of the query.	long
zeek.dns.qclass_name	A descriptive name for the class of the query.	keyword
zeek.dns.qtype	A QTYPE value specifying the type of the query.	long
zeek.dns.qtype_name	A descriptive name for the type of the query.	keyword
zeek.dns.query	The domain name that is the subject of the DNS query.	keyword
zeek.dns.rcode	The response code value in DNS response messages.	long
zeek.dns.rcode_name	A descriptive name for the response code value.	keyword
zeek.dns.rejected	Indicates whether the DNS query was rejected by the server.	boolean
zeek.dns.rtt	Round trip time for the query and response.	double
zeek.dns.saw_query	Whether the full DNS query has been seen.	boolean
zeek.dns.saw_reply	Whether the full DNS reply has been seen.	boolean
zeek.dns.total_answers	The total number of resource records in the reply.	integer
zeek.dns.total_replies	The total number of resource records in the reply message.	integer
zeek.dns.trans_id	DNS transaction identifier.	keyword
zeek.session_id	A unique identifier of the session	keyword

dpd

The dpd dataset collects the Zeek dpd.log, which contains dynamic protocol detection failures.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.dpd.analyzer	The analyzer that generated the violation.	keyword
zeek.dpd.failure_reason	The textual reason for the analysis failure.	keyword
zeek.dpd.packet_segment	(present if policy/frameworks/dpd/packet-segment-logging.bro is loaded) A chunk of the payload that most likely resulted in the protocol violation.	keyword
zeek.session_id	A unique identifier of the session	keyword

files

The files dataset collects the Zeek files.log file, which contains file analysis results.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
client.ip	IP address of the client (IPv4 or IPv6).	ip
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
file.hash.md5	MD5 hash.	keyword
file.hash.sha1	SHA1 hash.	keyword
file.hash.sha256	SHA256 hash.	keyword
file.mime_type	MIME type should identify the format of the file or stream of bytes using https://www.iana.org/assignments/media-types/media-types.xhtml\[IANA official types], where possible. When more than one type is applicable, the most specific type should be used.	keyword
file.name	Name of the file including the extension, without the directory.	keyword
file.size	File size in bytes. Only relevant when file.type is "file".	long
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
related.hash	All the hashes seen on your event. Populating this field, then using it to search for hashes can help in situations where you're unsure what the hash algorithm is (and therefore which key name to search).	keyword
related.ip	All of the IPs seen on your event.	ip
server.ip	IP address of the server (IPv4 or IPv6).	ip
tags	List of keywords used to tag each event.	keyword
zeek.files.analyzers	A set of analysis types done during the file analysis.	keyword
zeek.files.depth	A value to represent the depth of this file in relation to its source. In SMTP, it is the depth of the MIME attachment on the message. In HTTP, it is the depth of the request within the TCP connection.	long
zeek.files.duration	The duration the file was analyzed for. Not the duration of the session.	double
zeek.files.entropy	The information density of the contents of the file.	double
zeek.files.extracted	Local filename of extracted file.	keyword
zeek.files.extracted_cutoff	Indicate whether the file being extracted was cut off hence not extracted completely.	boolean
zeek.files.extracted_size	The number of bytes extracted to disk.	long
zeek.files.filename	Name of the file if available.	keyword
zeek.files.fuid	A file unique identifier.	keyword
zeek.files.is_orig	If the source of this file is a network connection, this field indicates if the file is being sent by the originator of the connection or the responder.	boolean
zeek.files.local_orig	If the source of this file is a network connection, this field indicates if the data originated from the local network or not.	boolean
zeek.files.md5	An MD5 digest of the file contents.	keyword
zeek.files.mime_type	Mime type of the file.	keyword
zeek.files.missing_bytes	The number of bytes in the file stream that were completely missed during the process of analysis.	long
zeek.files.overflow_bytes	The number of bytes in the file stream that were not delivered to stream file analyzers. This could be overlapping bytes or bytes that couldn't be reassembled.	long
zeek.files.parent_fuid	Identifier associated with a container file from which this one was extracted as part of the file analysis.	keyword
zeek.files.rx_host	The host that received the file.	ip
zeek.files.seen_bytes	Number of bytes provided to the file analysis engine for the file.	long
zeek.files.session_ids	The sessions that have this file.	keyword
zeek.files.sha1	A SHA1 digest of the file contents.	keyword
zeek.files.sha256	A SHA256 digest of the file contents.	keyword
zeek.files.source	An identification of the source of the file data. E.g. it may be a network protocol over which it was transferred, or a local file path which was read, or some other input source.	keyword
zeek.files.timedout	Whether the file analysis timed out at least once for the file.	boolean
zeek.files.total_bytes	Total number of bytes that are supposed to comprise the full file.	long
zeek.files.tx_host	The host that transferred the file.	ip
zeek.session_id	A unique identifier of the session	keyword

ftp

The ftp dataset collects the Zeek ftp.log file, which contains FTP activity.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.action	The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
file.mime_type	MIME type should identify the format of the file or stream of bytes using https://www.iana.org/assignments/media-types/media-types.xhtml\[IANA official types], where possible. When more than one type is applicable, the most specific type should be used.	keyword
file.size	File size in bytes. Only relevant when file.type is "file".	long
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
related.user	All the user names or other user identifiers seen on the event.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
user.name	Short name or login of the user.	keyword
user.name.text	Multi-field of user.name.	match_only_text
zeek.ftp.arg	Argument for the command if one is given.	keyword
zeek.ftp.capture_password	Determines if the password will be captured for this request.	boolean
zeek.ftp.cmdarg.arg	Argument for the command if one was given.	keyword
zeek.ftp.cmdarg.cmd	Command.	keyword
zeek.ftp.cmdarg.seq	Counter to track how many commands have been executed.	integer
zeek.ftp.command	Command given by the client.	keyword
zeek.ftp.cwd	Current working directory that this session is in. By making the default value '.', we can indicate that unless something more concrete is discovered that the existing but unknown directory is ok to use.	keyword
zeek.ftp.data_channel.originating_host	The host that will be initiating the data connection.	ip
zeek.ftp.data_channel.passive	Whether PASV mode is toggled for control channel.	boolean
zeek.ftp.data_channel.response_host	The host that will be accepting the data connection.	ip
zeek.ftp.data_channel.response_port	The port at which the acceptor is listening for the data connection.	integer
zeek.ftp.file.fuid	(present if base/protocols/ftp/files.bro is loaded) File unique ID.	keyword
zeek.ftp.file.mime_type	Sniffed mime type of file.	keyword
zeek.ftp.file.size	Size of the file if the command indicates a file transfer.	long
zeek.ftp.last_auth_requested	present if base/protocols/ftp/gridftp.bro is loaded. Last authentication/security mechanism that was used.	keyword
zeek.ftp.passive	Indicates if the session is in active or passive mode.	boolean
zeek.ftp.password	Password for the current FTP session if captured.	keyword
zeek.ftp.pending_commands	Queue for commands that have been sent but not yet responded to are tracked here.	integer
zeek.ftp.reply.code	Reply code from the server in response to the command.	integer
zeek.ftp.reply.msg	Reply message from the server in response to the command.	keyword
zeek.ftp.user	User name for the current FTP session.	keyword
zeek.session_id	A unique identifier of the session	keyword

http

The http dataset collects the Zeek http.log file, which contains HTTP requests and replies.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.action	The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.outcome	This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.	keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
http.request.body.bytes	Size in bytes of the request body.	long
http.request.method	HTTP request method. The value should retain its casing from the original event. For example, GET, get, and GeT are all considered valid values for this field.	keyword
http.request.referrer	Referrer for this HTTP request.	keyword
http.response.body.bytes	Size in bytes of the response body.	long
http.response.status_code	HTTP response status code.	long
http.version	HTTP version.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
related.user	All the user names or other user identifiers seen on the event.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
url.domain	Domain of the url, such as "www.elastic.co". In some cases a URL may refer to an IP and/or port directly, without a domain name. In this case, the IP address would go to the domain field. If the URL contains a literal IPv6 address enclosed by [ and ] (IETF RFC 2732), the [ and ] characters should also be captured in the domain field.	keyword
url.original	Unmodified original url as seen in the event source. Note that in network monitoring, the observed URL may be a full URL, whereas in access logs, the URL is often just represented as a path. This field is meant to represent the URL as it was observed, complete or not.	wildcard
url.original.text	Multi-field of url.original.	match_only_text
url.password	Password of the request.	keyword
url.path	Path of the request, such as "/search".	wildcard
url.port	Port of the request, such as 443.	long
url.scheme	Scheme of the request, such as "https". Note: The : is not part of the scheme.	keyword
url.username	Username of the request.	keyword
user.name	Short name or login of the user.	keyword
user.name.text	Multi-field of user.name.	match_only_text
user_agent.device.name	Name of the device.	keyword
user_agent.name	Name of the user agent.	keyword
user_agent.original	Unparsed user_agent string.	keyword
user_agent.original.text	Multi-field of user_agent.original.	match_only_text
user_agent.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
user_agent.os.full	Operating system name, including the version or code name.	keyword
user_agent.os.full.text	Multi-field of user_agent.os.full.	match_only_text
user_agent.os.kernel	Operating system kernel version as a raw string.	keyword
user_agent.os.name	Operating system name, without the version.	keyword
user_agent.os.name.text	Multi-field of user_agent.os.name.	match_only_text
user_agent.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
user_agent.os.version	Operating system version as a raw string.	keyword
user_agent.version	Version of the user agent.	keyword
zeek.http.captured_password	Determines if the password will be captured for this request.	boolean
zeek.http.client_header_names	The vector of HTTP header names sent by the client. No header values are included here, just the header names.	keyword
zeek.http.host	The Zeek host if it differs from the domain extracted from the Zeek URI.	keyword
zeek.http.info_code	Last seen 1xx informational reply code returned by the server.	integer
zeek.http.info_msg	Last seen 1xx informational reply message returned by the server.	keyword
zeek.http.orig_filenames	An ordered vector of filenames from the originator.	keyword
zeek.http.orig_fuids	An ordered vector of file unique IDs from the originator.	keyword
zeek.http.orig_mime_depth	Current number of MIME entities in the HTTP request message body.	integer
zeek.http.orig_mime_types	An ordered vector of mime types from the originator.	keyword
zeek.http.password	Password if basic-auth is performed for the request.	keyword
zeek.http.proxied	All of the headers that may indicate if the HTTP request was proxied.	keyword
zeek.http.range_request	Indicates if this request can assume 206 partial content in response.	boolean
zeek.http.resp_filenames	An ordered vector of filenames from the responder.	keyword
zeek.http.resp_fuids	An ordered vector of file unique IDs from the responder.	keyword
zeek.http.resp_mime_depth	Current number of MIME entities in the HTTP response message body.	integer
zeek.http.resp_mime_types	An ordered vector of mime types from the responder.	keyword
zeek.http.server_header_names	The vector of HTTP header names sent by the server. No header values are included here, just the header names.	keyword
zeek.http.status_msg	Status message returned by the server.	keyword
zeek.http.tags	A set of indicators of various attributes discovered and related to a particular request/response pair.	keyword
zeek.http.trans_depth	Represents the pipelined depth into the connection of this request/response transaction.	integer
zeek.session_id	A unique identifier of the session	keyword

intel

The intel dataset collects the Zeek intel.log file, which contains intelligence data matches.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.original	Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference.	keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
threat.enrichments	A list of associated indicators objects enriching the event, and the context of that association/enrichment.	nested
threat.indicator.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
threat.indicator.as.organization.name	Organization name.	keyword
threat.indicator.as.organization.name.text	Multi-field of threat.indicator.as.organization.name.	match_only_text
threat.indicator.email.address	Identifies a threat indicator as an email address (irrespective of direction).	keyword
threat.indicator.file.name	Name of the file including the extension, without the directory.	keyword
threat.indicator.geo.city_name	City name.	keyword
threat.indicator.geo.continent_name	Name of the continent.	keyword
threat.indicator.geo.country_iso_code	Country ISO code.	keyword
threat.indicator.geo.country_name	Country name.	keyword
threat.indicator.geo.location	Longitude and latitude.	geo_point
threat.indicator.geo.region_iso_code	Region ISO code.	keyword
threat.indicator.geo.region_name	Region name.	keyword
threat.indicator.geo.timezone	The time zone of the location, such as IANA time zone name.	keyword
threat.indicator.ip	Identifies a threat indicator as an IP address (irrespective of direction).	ip
threat.indicator.type	Type of indicator as represented by Cyber Observable in STIX 2.0.	keyword
threat.indicator.url.domain	Domain of the url, such as "www.elastic.co". In some cases a URL may refer to an IP and/or port directly, without a domain name. In this case, the IP address would go to the domain field. If the URL contains a literal IPv6 address enclosed by [ and ] (IETF RFC 2732), the [ and ] characters should also be captured in the domain field.	keyword
threat.indicator.url.extension	The field contains the file extension from the original request url, excluding the leading dot. The file extension is only set if it exists, as not every url has a file extension. The leading period must not be included. For example, the value must be "png", not ".png". Note that when the file name has multiple extensions (example.tar.gz), only the last one should be captured ("gz", not "tar.gz").	keyword
threat.indicator.url.fragment	Portion of the url after the #, such as "top". The # is not part of the fragment.	keyword
threat.indicator.url.full	If full URLs are important to your use case, they should be stored in url.full, whether this field is reconstructed or present in the event source.	wildcard
threat.indicator.url.full.text	Multi-field of threat.indicator.url.full.	match_only_text
threat.indicator.url.original	Unmodified original url as seen in the event source. Note that in network monitoring, the observed URL may be a full URL, whereas in access logs, the URL is often just represented as a path. This field is meant to represent the URL as it was observed, complete or not.	wildcard
threat.indicator.url.original.text	Multi-field of threat.indicator.url.original.	match_only_text
threat.indicator.url.password	Password of the request.	keyword
threat.indicator.url.path	Path of the request, such as "/search".	wildcard
threat.indicator.url.port	Port of the request, such as 443.	long
threat.indicator.url.query	The query field describes the query string of the request, such as "q=elasticsearch". The ? is excluded from the query string. If a URL contains no ?, there is no query field. If there is a ? but no query, the query field exists with an empty string. The exists query can be used to differentiate between the two cases.	keyword
threat.indicator.url.registered_domain	The highest registered url domain, stripped of the subdomain. For example, the registered domain for "foo.example.com" is "example.com". This value can be determined precisely with a list like the public suffix list (http://publicsuffix.org). Trying to approximate this by simply taking the last two labels will not work well for TLDs such as "co.uk".	keyword
threat.indicator.url.scheme	Scheme of the request, such as "https". Note: The : is not part of the scheme.	keyword
threat.indicator.url.subdomain	The subdomain portion of a fully qualified domain name includes all of the names except the host name under the registered_domain. In a partially qualified domain, or if the the qualification level of the full name cannot be determined, subdomain contains all of the names below the registered domain. For example the subdomain portion of "www.east.mydomain.co.uk" is "east". If the domain has multiple levels of subdomain, such as "sub2.sub1.example.com", the subdomain field should contain "sub2.sub1", with no trailing period.	keyword
threat.indicator.url.top_level_domain	The effective top level domain (eTLD), also known as the domain suffix, is the last part of the domain name. For example, the top level domain for example.com is "com". This value can be determined precisely with a list like the public suffix list (http://publicsuffix.org). Trying to approximate this by simply taking the last label will not work well for effective TLDs such as "co.uk".	keyword
threat.indicator.url.username	Username of the request.	keyword
zeek.intel.file_desc	Frequently files can be described to give a bit more context. If the $f field is provided this field will be automatically filled out.	keyword
zeek.intel.file_mime_type	A mime type if the intelligence hit is related to a file. If the $f field is provided this will be automatically filled out.	keyword
zeek.intel.fuid	If a file was associated with this intelligence hit, this is the uid for the file.	keyword
zeek.intel.matched	Event to represent a match in the intelligence data from data that was seen.	keyword
zeek.intel.seen.conn	If the data was discovered within a connection, the connection record should go here to give context to the data.	keyword
zeek.intel.seen.f.*	If the data was discovered within a file, the file record should go here to provide context to the data.	object
zeek.intel.seen.fuid	If the data was discovered within a file, the file uid should go here to provide context to the data. If the file record f is provided, this will be automatically filled out.	keyword
zeek.intel.seen.host	If the indicator type was Intel::ADDR, then this field will be present.	keyword
zeek.intel.seen.indicator	The intelligence indicator.	keyword
zeek.intel.seen.indicator_type	The type of data the indicator represents.	keyword
zeek.intel.seen.node	The name of the node where the match was discovered.	keyword
zeek.intel.seen.uid	If the data was discovered within a connection, the connection uid should go here to give context to the data. If the conn field is provided, this will be automatically filled out.	keyword
zeek.intel.seen.where	Where the data was discovered.	keyword
zeek.intel.sources	Sources which supplied data for this match.	keyword
zeek.session_id	A unique identifier of the session	keyword

irc

The irc dataset collects the Zeek irc.log file, which contains IRC commands and responses.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.action	The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
file.mime_type	MIME type should identify the format of the file or stream of bytes using https://www.iana.org/assignments/media-types/media-types.xhtml\[IANA official types], where possible. When more than one type is applicable, the most specific type should be used.	keyword
file.name	Name of the file including the extension, without the directory.	keyword
file.size	File size in bytes. Only relevant when file.type is "file".	long
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
related.user	All the user names or other user identifiers seen on the event.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
user.name	Short name or login of the user.	keyword
user.name.text	Multi-field of user.name.	match_only_text
zeek.irc.addl	Any additional data for the command.	keyword
zeek.irc.command	Command given by the client.	keyword
zeek.irc.dcc.file.name	Present if base/protocols/irc/dcc-send.bro is loaded. DCC filename requested.	keyword
zeek.irc.dcc.file.size	Present if base/protocols/irc/dcc-send.bro is loaded. Size of the DCC transfer as indicated by the sender.	long
zeek.irc.dcc.mime_type	present if base/protocols/irc/dcc-send.bro is loaded. Sniffed mime type of the file.	keyword
zeek.irc.fuid	present if base/protocols/irc/files.bro is loaded. File unique ID.	keyword
zeek.irc.nick	Nickname given for the connection.	keyword
zeek.irc.user	Username given for the connection.	keyword
zeek.irc.value	Value for the command given by the client.	keyword
zeek.session_id	A unique identifier of the session	keyword

kerberos

The kerberos dataset collects the Zeek kerberos.log file, which contains kerberos data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
client.address	Some event client addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.action	The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.outcome	This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.	keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
related.user	All the user names or other user identifiers seen on the event.	keyword
server.address	Some event server addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
tls.client.x509.subject.common_name	List of common names (CN) of subject.	keyword
tls.client.x509.subject.country	List of country (C) code	keyword
tls.client.x509.subject.locality	List of locality names (L)	keyword
tls.client.x509.subject.organization	List of organizations (O) of subject.	keyword
tls.client.x509.subject.organizational_unit	List of organizational units (OU) of subject.	keyword
tls.client.x509.subject.state_or_province	List of state or province names (ST, S, or P)	keyword
tls.server.x509.subject.common_name	List of common names (CN) of subject.	keyword
tls.server.x509.subject.country	List of country (C) code	keyword
tls.server.x509.subject.locality	List of locality names (L)	keyword
tls.server.x509.subject.organization	List of organizations (O) of subject.	keyword
tls.server.x509.subject.organizational_unit	List of organizational units (OU) of subject.	keyword
tls.server.x509.subject.state_or_province	List of state or province names (ST, S, or P)	keyword
user.domain	Name of the directory the user is a member of. For example, an LDAP or Active Directory domain name.	keyword
user.name	Short name or login of the user.	keyword
user.name.text	Multi-field of user.name.	match_only_text
zeek.kerberos.cert.client.fuid	File unique ID of client cert.	keyword
zeek.kerberos.cert.client.subject	Subject of client certificate.	keyword
zeek.kerberos.cert.client.value	Client certificate.	keyword
zeek.kerberos.cert.server.fuid	File unique ID of server certificate.	keyword
zeek.kerberos.cert.server.subject	Subject of server certificate.	keyword
zeek.kerberos.cert.server.value	Server certificate.	keyword
zeek.kerberos.cipher	Ticket encryption type.	keyword
zeek.kerberos.client	Client name.	keyword
zeek.kerberos.error.code	Error code.	integer
zeek.kerberos.error.msg	Error message.	keyword
zeek.kerberos.forwardable	Forwardable ticket requested.	boolean
zeek.kerberos.renewable	Renewable ticket requested.	boolean
zeek.kerberos.request_type	Request type - Authentication Service (AS) or Ticket Granting Service (TGS).	keyword
zeek.kerberos.service	Service name.	keyword
zeek.kerberos.success	Request result.	boolean
zeek.kerberos.ticket.auth	Hash of ticket used to authorize request/transaction.	keyword
zeek.kerberos.ticket.new	Hash of ticket returned by the KDC.	keyword
zeek.kerberos.valid.days	Number of days the ticket is valid for.	integer
zeek.kerberos.valid.from	Ticket valid from.	date
zeek.kerberos.valid.until	Ticket valid until.	date
zeek.session_id	A unique identifier of the session	keyword

known_certs

The known_certs dataset captures information about SSL/TLS certificates seen on the local network. See the documentation for more details.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.geo.city_name	City name.	keyword
host.geo.continent_name	Name of the continent.	keyword
host.geo.country_iso_code	Country ISO code.	keyword
host.geo.country_name	Country name.	keyword
host.geo.location	Longitude and latitude.	geo_point
host.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
host.geo.region_iso_code	Region ISO code.	keyword
host.geo.region_name	Region name.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.type	In the OSI Model this would be the Network Layer. ipv4, ipv6, ipsec, pim, etc The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
server.geo.city_name	City name.	keyword
server.geo.continent_name	Name of the continent.	keyword
server.geo.country_iso_code	Country ISO code.	keyword
server.geo.country_name	Country name.	keyword
server.geo.location	Longitude and latitude.	geo_point
server.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
server.geo.region_iso_code	Region ISO code.	keyword
server.geo.region_name	Region name.	keyword
server.ip	IP address of the server (IPv4 or IPv6).	ip
server.port	Port of the server.	long
tags	List of keywords used to tag each event.	keyword
tls.server.issuer	Subject of the issuer of the x.509 certificate presented by the server.	keyword
tls.server.subject	Subject of the x.509 certificate presented by the server.	keyword
tls.server.x509.issuer.common_name	List of common name (CN) of issuing certificate authority.	keyword
tls.server.x509.issuer.distinguished_name	Distinguished name (DN) of issuing certificate authority.	keyword
tls.server.x509.serial_number	Unique serial number issued by the certificate authority. For consistency, if this value is alphanumeric, it should be formatted without colons and uppercase characters.	keyword
tls.server.x509.subject.common_name	List of common names (CN) of subject.	keyword
tls.server.x509.subject.distinguished_name	Distinguished name (DN) of the certificate subject entity.	keyword

known_hosts

The known_hosts dataset simply records a timestamp and an IP address when Zeek observes a new system on the local network.. See the documentation for more details.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.geo.city_name	City name.	keyword
host.geo.continent_name	Name of the continent.	keyword
host.geo.country_iso_code	Country ISO code.	keyword
host.geo.country_name	Country name.	keyword
host.geo.location	Longitude and latitude.	geo_point
host.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
host.geo.region_iso_code	Region ISO code.	keyword
host.geo.region_name	Region name.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.type	In the OSI Model this would be the Network Layer. ipv4, ipv6, ipsec, pim, etc The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
tags	List of keywords used to tag each event.	keyword

known_services

The known_services dataset records a timestamp, IP, port number, protocol, and service (if available) when Zeek observes a system offering a new service on the local network. See the documentation for more details.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.geo.city_name	City name.	keyword
host.geo.continent_name	Name of the continent.	keyword
host.geo.country_iso_code	Country ISO code.	keyword
host.geo.country_name	Country name.	keyword
host.geo.location	Longitude and latitude.	geo_point
host.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
host.geo.region_iso_code	Region ISO code.	keyword
host.geo.region_name	Region name.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.application	When a specific application or service is identified from network connection details (source/dest IPs, ports, certificates, or wire format), this field captures the application's or service's name. For example, the original event identifies the network connection being from a specific web service in a https network connection, like facebook or twitter. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
network.type	In the OSI Model this would be the Network Layer. ipv4, ipv6, ipsec, pim, etc The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
server.geo.city_name	City name.	keyword
server.geo.continent_name	Name of the continent.	keyword
server.geo.country_iso_code	Country ISO code.	keyword
server.geo.country_name	Country name.	keyword
server.geo.location	Longitude and latitude.	geo_point
server.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
server.geo.region_iso_code	Region ISO code.	keyword
server.geo.region_name	Region name.	keyword
server.ip	IP address of the server (IPv4 or IPv6).	ip
server.port	Port of the server.	long
tags	List of keywords used to tag each event.	keyword

modbus

The modbus dataset collects the Zeek modbus.log file, which contains modbus commands and responses.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.action	The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.outcome	This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.	keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.modbus.exception	The exception if the response was a failure.	keyword
zeek.modbus.function	The name of the function message that was sent.	keyword
zeek.modbus.track_address	Present if policy/protocols/modbus/track-memmap.bro is loaded. Modbus track address.	integer
zeek.session_id	A unique identifier of the session	keyword

mysql

The mysql dataset collects the Zeek mysql.log file, which contains MySQL data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.action	The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.outcome	This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.	keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.mysql.arg	The argument issued to the command.	keyword
zeek.mysql.cmd	The command that was issued.	keyword
zeek.mysql.response	Server message, if any.	keyword
zeek.mysql.rows	The number of affected rows, if any.	integer
zeek.mysql.success	Whether the command succeeded.	boolean
zeek.session_id	A unique identifier of the session	keyword

notice

The notice dataset collects the Zeek notice.log file, which contains Zeek notices.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
file.mime_type	MIME type should identify the format of the file or stream of bytes using https://www.iana.org/assignments/media-types/media-types.xhtml\[IANA official types], where possible. When more than one type is applicable, the most specific type should be used.	keyword
file.size	File size in bytes. Only relevant when file.type is "file".	long
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
rule.description	The description of the rule generating the event.	keyword
rule.name	The name of the rule or signature generating the event.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.notice.actions	The actions which have been applied to this notice.	keyword
zeek.notice.connection_id	Identifier of the related connection session.	keyword
zeek.notice.dropped	Indicate if the source IP address was dropped and denied network access.	boolean
zeek.notice.email_body_sections	By adding chunks of text into this element, other scripts can expand on notices that are being emailed.	text
zeek.notice.email_delay_tokens	Adding a string token to this set will cause the built-in emailing functionality to delay sending the email either the token has been removed or the email has been delayed for the specified time duration.	keyword
zeek.notice.ffile.total_bytes	Total number of bytes that are supposed to comprise the full file.	long
zeek.notice.file.id	An identifier associated with a single file that is related to this notice.	keyword
zeek.notice.file.is_orig	If the source of this file is a network connection, this field indicates if the file is being sent by the originator of the connection or the responder.	boolean
zeek.notice.file.mime_type	A mime type if the notice is related to a file.	keyword
zeek.notice.file.missing_bytes	The number of bytes in the file stream that were completely missed during the process of analysis.	long
zeek.notice.file.overflow_bytes	The number of bytes in the file stream that were not delivered to stream file analyzers. This could be overlapping bytes or bytes that couldn't be reassembled.	long
zeek.notice.file.parent_id	Identifier associated with a container file from which this one was extracted.	keyword
zeek.notice.file.seen_bytes	Number of bytes provided to the file analysis engine for the file.	long
zeek.notice.file.source	An identification of the source of the file data. E.g. it may be a network protocol over which it was transferred, or a local file path which was read, or some other input source.	keyword
zeek.notice.fuid	A file unique ID if this notice is related to a file.	keyword
zeek.notice.icmp_id	Identifier of the related ICMP session.	keyword
zeek.notice.identifier	This field is provided when a notice is generated for the purpose of deduplicating notices.	keyword
zeek.notice.msg	The human readable message for the notice.	keyword
zeek.notice.n	Associated count, or a status code.	long
zeek.notice.note	The type of the notice.	keyword
zeek.notice.peer_descr	Textual description for the peer that raised this notice.	text
zeek.notice.peer_name	Name of remote peer that raised this notice.	keyword
zeek.notice.sub	The human readable sub-message.	keyword
zeek.notice.suppress_for	This field indicates the length of time that this unique notice should be suppressed.	double
zeek.session_id	A unique identifier of the session	keyword

ntp

The ntp dataset collects the Zeek ntp.log file, which contains NTP data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.bytes	Bytes sent from the destination to the source.	long
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.mac	MAC address of the destination. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
destination.packets	Packets sent from the destination to the source.	long
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.duration	Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.	long
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.bytes	Total bytes transferred in both directions. If source.bytes and destination.bytes are known, network.bytes is their sum.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.direction	Direction of the network traffic. When mapping events from a host-based monitoring context, populate this field from the host's point of view, using the values "ingress" or "egress". When mapping events from a network or perimeter-based monitoring context, populate this field from the point of view of the network perimeter, using the values "inbound", "outbound", "internal" or "external". Note that "internal" is not crossing perimeter boundaries, and is meant to describe communication between two hosts within the perimeter. Note also that "external" is meant to describe traffic between two hosts that are external to the perimeter. This could for example be useful for ISPs or VPN service providers.	keyword
network.packets	Total packets transferred in both directions. If source.packets and destination.packets are known, network.packets is their sum.	long
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
network.type	In the OSI Model this would be the Network Layer. ipv4, ipv6, ipsec, pim, etc The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.bytes	Bytes sent from the source to the destination.	long
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.mac	MAC address of the source. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
source.packets	Packets sent from the source to the destination.	long
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.ntp.mode	The NTP mode being used.	integer
zeek.ntp.num_exts	Number of extension fields (which are not currently parsed).	integer
zeek.ntp.org_time	Time at the client when the request departed for the NTP server.	date
zeek.ntp.poll	The maximum interval between successive messages in seconds.	double
zeek.ntp.precision	The precision of the system clock in seconds.	double
zeek.ntp.rec_time	Time at the server when the request arrived from the NTP client.	date
zeek.ntp.ref_id	For stratum 0, 4 character string used for debugging. For stratum 1, ID assigned to the reference clock by IANA. Above stratum 1, when using IPv4, the IP address of the reference clock. Note that the NTP protocol did not originally specify a large enough field to represent IPv6 addresses, so they use the first four bytes of the MD5 hash of the reference clock’s IPv6 address (i.e. an IPv4 address here is not necessarily IPv4).	keyword
zeek.ntp.ref_time	Time when the system clock was last set or correct.	date
zeek.ntp.root_delay	Total round-trip delay to the reference clock in seconds.	double
zeek.ntp.root_disp	Total dispersion to the reference clock in seconds.	double
zeek.ntp.stratum	The stratum (primary server, secondary server, etc.).	integer
zeek.ntp.version	The NTP version number (1, 2, 3, 4).	integer
zeek.ntp.xmt_time	Time at the server when the response departed for the NTP client.	date
zeek.session_id	A unique identifier of the session	keyword

ntlm

The ntlm dataset collects the Zeek ntlm.log file, which contains NT LAN Manager(NTLM) data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.outcome	This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.	keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
file.path	Full path to the file, including the file name. It should include the drive letter, when appropriate.	keyword
file.path.text	Multi-field of file.path.	match_only_text
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
related.user	All the user names or other user identifiers seen on the event.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
user.domain	Name of the directory the user is a member of. For example, an LDAP or Active Directory domain name.	keyword
user.name	Short name or login of the user.	keyword
user.name.text	Multi-field of user.name.	match_only_text
zeek.ntlm.domain	Domain name given by the client.	keyword
zeek.ntlm.hostname	Hostname given by the client.	keyword
zeek.ntlm.server.name.dns	DNS name given by the server in a CHALLENGE.	keyword
zeek.ntlm.server.name.netbios	NetBIOS name given by the server in a CHALLENGE.	keyword
zeek.ntlm.server.name.tree	Tree name given by the server in a CHALLENGE.	keyword
zeek.ntlm.success	Indicate whether or not the authentication was successful.	boolean
zeek.ntlm.username	Username given by the client.	keyword
zeek.session_id	A unique identifier of the session	keyword

ocsp

The ocsp dataset collects the Zeek ocsp.log file, which contains Online Certificate Status Protocol (OCSP) data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
file.path	Full path to the file, including the file name. It should include the drive letter, when appropriate.	keyword
file.path.text	Multi-field of file.path.	match_only_text
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.hash	All the hashes seen on your event. Populating this field, then using it to search for hashes can help in situations where you're unsure what the hash algorithm is (and therefore which key name to search).	keyword
tags	List of keywords used to tag each event.	keyword
zeek.ocsp.file_id	File id of the OCSP reply.	keyword
zeek.ocsp.hash.algorithm	Hash algorithm used to generate issuerNameHash and issuerKeyHash.	keyword
zeek.ocsp.hash.issuer.key	Hash of the issuer's public key.	keyword
zeek.ocsp.hash.issuer.name	Hash of the issuer's distingueshed name.	keyword
zeek.ocsp.revoke.date	Time at which the certificate was revoked.	date
zeek.ocsp.revoke.reason	Reason for which the certificate was revoked.	keyword
zeek.ocsp.serial_number	Serial number of the affected certificate.	keyword
zeek.ocsp.status	Status of the affected certificate.	keyword
zeek.ocsp.update.next	The latest time at which new information about the status of the certificate will be available.	date
zeek.ocsp.update.this	The time at which the status being shows is known to have been correct.	date
zeek.session_id	A unique identifier of the session	keyword

pe

The pe dataset collects the Zeek pe.log file, which contains portable executable data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
tags	List of keywords used to tag each event.	keyword
zeek.pe.client	The client's version string.	keyword
zeek.pe.compile_time	The time that the file was created at.	date
zeek.pe.has_cert_table	Does the file have an attribute certificate table?	boolean
zeek.pe.has_debug_data	Does the file have a debug table?	boolean
zeek.pe.has_export_table	Does the file have an export table?	boolean
zeek.pe.has_import_table	Does the file have an import table?	boolean
zeek.pe.id	File id of this portable executable file.	keyword
zeek.pe.is_64bit	Is the file a 64-bit executable?	boolean
zeek.pe.is_exe	Is the file an executable, or just an object file?	boolean
zeek.pe.machine	The target machine that the file was compiled for.	keyword
zeek.pe.os	The required operating system.	keyword
zeek.pe.section_names	The names of the sections, in order.	keyword
zeek.pe.subsystem	The subsystem that is required to run this file.	keyword
zeek.pe.uses_aslr	Does the file support Address Space Layout Randomization?	boolean
zeek.pe.uses_code_integrity	Does the file enforce code integrity checks?	boolean
zeek.pe.uses_dep	Does the file support Data Execution Prevention?	boolean
zeek.pe.uses_seh	Does the file use structured exception handing?	boolean
zeek.session_id	A unique identifier of the session	keyword

radius

The radius dataset collects the Zeek radius.log file, which contains RADIUS authentication attempts.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.outcome	This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.	keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
related.user	All the user names or other user identifiers seen on the event.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
user.name	Short name or login of the user.	keyword
user.name.text	Multi-field of user.name.	match_only_text
zeek.radius.connect_info	Connect info, if present.	keyword
zeek.radius.framed_addr	The address given to the network access server, if present. This is only a hint from the RADIUS server and the network access server is not required to honor the address.	ip
zeek.radius.logged	Whether this has already been logged and can be ignored.	boolean
zeek.radius.mac	MAC address, if present.	keyword
zeek.radius.remote_ip	Remote IP address, if present. This is collected from the Tunnel-Client-Endpoint attribute.	ip
zeek.radius.reply_msg	Reply message from the server challenge. This is frequently shown to the user authenticating.	keyword
zeek.radius.result	Successful or failed authentication.	keyword
zeek.radius.ttl	The duration between the first request and either the "Access-Accept" message or an error. If the field is empty, it means that either the request or response was not seen.	integer
zeek.radius.username	The username, if present.	keyword
zeek.session_id	A unique identifier of the session	keyword

rdp

The rdp dataset collects the Zeek rdp.log file, which contains RDP data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
tls.established	Boolean flag indicating if the TLS negotiation was successful and transitioned to an encrypted tunnel.	boolean
zeek.rdp.cert.count	The number of certs seen. X.509 can transfer an entire certificate chain.	integer
zeek.rdp.cert.permanent	Indicates if the provided certificate or certificate chain is permanent or temporary.	boolean
zeek.rdp.cert.type	If the connection is being encrypted with native RDP encryption, this is the type of cert being used.	keyword
zeek.rdp.client.build	RDP client version used by the client machine.	keyword
zeek.rdp.client.client_name	Name of the client machine.	keyword
zeek.rdp.client.product_id	Product ID of the client machine.	keyword
zeek.rdp.cookie	Cookie value used by the client machine. This is typically a username.	keyword
zeek.rdp.desktop.color_depth	The color depth requested by the client in the high_color_depth field.	keyword
zeek.rdp.desktop.height	Desktop height of the client machine.	integer
zeek.rdp.desktop.width	Desktop width of the client machine.	integer
zeek.rdp.done	Track status of logging RDP connections.	boolean
zeek.rdp.encryption.level	Encryption level of the connection.	keyword
zeek.rdp.encryption.method	Encryption method of the connection.	keyword
zeek.rdp.keyboard_layout	Keyboard layout (language) of the client machine.	keyword
zeek.rdp.result	Status result for the connection. It's a mix between RDP negotation failure messages and GCC server create response messages.	keyword
zeek.rdp.security_protocol	Security protocol chosen by the server.	keyword
zeek.rdp.ssl	(present if policy/protocols/rdp/indicate_ssl.bro is loaded) Flag the connection if it was seen over SSL.	boolean
zeek.session_id	A unique identifier of the session	keyword

rfb

The rfb dataset collects the Zeek rfb.log file, which contains Remote Framebuffer (RFB) data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.rfb.auth.method	Identifier of authentication method used.	keyword
zeek.rfb.auth.success	Whether or not authentication was successful.	boolean
zeek.rfb.desktop_name	Name of the screen that is being shared.	keyword
zeek.rfb.height	Height of the screen that is being shared.	integer
zeek.rfb.share_flag	Whether the client has an exclusive or a shared session.	boolean
zeek.rfb.version.client.major	Major version of the client.	keyword
zeek.rfb.version.client.minor	Minor version of the client.	keyword
zeek.rfb.version.server.major	Major version of the server.	keyword
zeek.rfb.version.server.minor	Minor version of the server.	keyword
zeek.rfb.width	Width of the screen that is being shared.	integer
zeek.session_id	A unique identifier of the session	keyword

signature

The signature dataset collects the Zeek signature.log file, which contains Zeek signature matches.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.bytes	Bytes sent from the destination to the source.	long
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.mac	MAC address of the destination. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
destination.packets	Packets sent from the destination to the source.	long
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.duration	Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.	long
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.bytes	Total bytes transferred in both directions. If source.bytes and destination.bytes are known, network.bytes is their sum.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.direction	Direction of the network traffic. When mapping events from a host-based monitoring context, populate this field from the host's point of view, using the values "ingress" or "egress". When mapping events from a network or perimeter-based monitoring context, populate this field from the point of view of the network perimeter, using the values "inbound", "outbound", "internal" or "external". Note that "internal" is not crossing perimeter boundaries, and is meant to describe communication between two hosts within the perimeter. Note also that "external" is meant to describe traffic between two hosts that are external to the perimeter. This could for example be useful for ISPs or VPN service providers.	keyword
network.packets	Total packets transferred in both directions. If source.packets and destination.packets are known, network.packets is their sum.	long
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
network.type	In the OSI Model this would be the Network Layer. ipv4, ipv6, ipsec, pim, etc The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
rule.description	The description of the rule generating the event.	keyword
rule.id	A rule ID that is unique within the scope of an agent, observer, or other entity using the rule for detection of this event.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.bytes	Bytes sent from the source to the destination.	long
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.mac	MAC address of the source. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
source.packets	Packets sent from the source to the destination.	long
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.session_id	A unique identifier of the session	keyword
zeek.signature.event_msg	A more descriptive message of the signature-matching event.	keyword
zeek.signature.host_count	Number of hosts, from a summary count.	integer
zeek.signature.note	Notice associated with signature event.	keyword
zeek.signature.sig_count	Number of sigs, usually from summary count.	integer
zeek.signature.sig_id	The name of the signature that matched.	keyword
zeek.signature.sub_msg	Extracted payload data or extra message.	keyword

sip

The sip dataset collects the Zeek sip.log file, which contains SIP data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.action	The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.outcome	This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.	keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
url.full	If full URLs are important to your use case, they should be stored in url.full, whether this field is reconstructed or present in the event source.	wildcard
url.full.text	Multi-field of url.full.	match_only_text
zeek.session_id	A unique identifier of the session	keyword
zeek.sip.call_id	Contents of the Call-ID: header from the client.	keyword
zeek.sip.content_type	Contents of the Content-Type: header from the server.	keyword
zeek.sip.date	Contents of the Date: header from the client.	keyword
zeek.sip.reply_to	Contents of the Reply-To: header.	keyword
zeek.sip.request.body_length	Contents of the Content-Length: header from the client.	long
zeek.sip.request.from	Contents of the request From: header Note: The tag= value that's usually appended to the sender is stripped off and not logged.	keyword
zeek.sip.request.path	The client message transmission path, as extracted from the headers.	keyword
zeek.sip.request.to	Contents of the To: header.	keyword
zeek.sip.response.body_length	Contents of the Content-Length: header from the server.	long
zeek.sip.response.from	Contents of the response From: header Note: The tag= value that's usually appended to the sender is stripped off and not logged.	keyword
zeek.sip.response.path	The server message transmission path, as extracted from the headers.	keyword
zeek.sip.response.to	Contents of the response To: header.	keyword
zeek.sip.sequence.method	Verb used in the SIP request (INVITE, REGISTER etc.).	keyword
zeek.sip.sequence.number	Contents of the CSeq: header from the client.	keyword
zeek.sip.status.code	Status code returned by the server.	integer
zeek.sip.status.msg	Status message returned by the server.	keyword
zeek.sip.subject	Contents of the Subject: header from the client.	keyword
zeek.sip.transaction_depth	Represents the pipelined depth into the connection of this request/response transaction.	integer
zeek.sip.uri	URI used in the request.	keyword
zeek.sip.user_agent	Contents of the User-Agent: header from the client.	keyword
zeek.sip.warning	Contents of the Warning: header.	keyword

smb_cmd

The smb_cmd dataset collects the Zeek smb_cmd.log file, which contains SMB commands.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.action	The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.outcome	This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.	keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
related.user	All the user names or other user identifiers seen on the event.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
user.name	Short name or login of the user.	keyword
user.name.text	Multi-field of user.name.	match_only_text
zeek.session_id	A unique identifier of the session	keyword
zeek.smb_cmd.argument	Command argument sent by the client, if any.	keyword
zeek.smb_cmd.command	The command sent by the client.	keyword
zeek.smb_cmd.file.action	Action this log record represents.	keyword
zeek.smb_cmd.file.host.rx	Address of the receiving host.	ip
zeek.smb_cmd.file.host.tx	Address of the transmitting host.	ip
zeek.smb_cmd.file.name	Filename if one was seen.	keyword
zeek.smb_cmd.file.uid	UID of the referenced file.	keyword
zeek.smb_cmd.rtt	Round trip time from the request to the response.	double
zeek.smb_cmd.smb1_offered_dialects	Present if base/protocols/smb/smb1-main.bro is loaded. Dialects offered by the client.	keyword
zeek.smb_cmd.smb2_offered_dialects	Present if base/protocols/smb/smb2-main.bro is loaded. Dialects offered by the client.	integer
zeek.smb_cmd.status	Server reply to the client's command.	keyword
zeek.smb_cmd.sub_command	The subcommand sent by the client, if present.	keyword
zeek.smb_cmd.tree	If this is related to a tree, this is the tree that was used for the current command.	keyword
zeek.smb_cmd.tree_service	The type of tree (disk share, printer share, named pipe, etc.).	keyword
zeek.smb_cmd.username	Authenticated username, if available.	keyword
zeek.smb_cmd.version	Version of SMB for the command.	keyword

smb_files

The smb_files dataset collects the Zeek smb_files.log file, which contains SMB file data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.action	The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
file.accessed	Last time the file was accessed. Note that not all filesystems keep track of access time.	date
file.created	File creation time. Note that not all filesystems store the creation time.	date
file.ctime	Last time the file attributes or metadata changed. Note that changes to the file content will update mtime. This implies ctime will be adjusted at the same time, since mtime is an attribute of the file.	date
file.mtime	Last time the file content was modified.	date
file.name	Name of the file including the extension, without the directory.	keyword
file.path	Full path to the file, including the file name. It should include the drive letter, when appropriate.	keyword
file.path.text	Multi-field of file.path.	match_only_text
file.size	File size in bytes. Only relevant when file.type is "file".	long
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
related.user	All the user names or other user identifiers seen on the event.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.session_id	A unique identifier of the session	keyword
zeek.smb_files.action	Action this log record represents.	keyword
zeek.smb_files.fid	ID referencing this file.	integer
zeek.smb_files.name	Filename if one was seen.	keyword
zeek.smb_files.path	Path pulled from the tree this file was transferred to or from.	keyword
zeek.smb_files.previous_name	If the rename action was seen, this will be the file's previous name.	keyword
zeek.smb_files.size	Byte size of the file.	long
zeek.smb_files.times.accessed	The file's access time.	date
zeek.smb_files.times.changed	The file's change time.	date
zeek.smb_files.times.created	The file's create time.	date
zeek.smb_files.times.modified	The file's modify time.	date
zeek.smb_files.uuid	UUID referencing this file if DCE/RPC.	keyword

smb_mapping

The smb_mapping dataset collects the Zeek smb_mapping.log file, which contains SMB trees.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
file.path	Full path to the file, including the file name. It should include the drive letter, when appropriate.	keyword
file.path.text	Multi-field of file.path.	match_only_text
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.session_id	A unique identifier of the session	keyword
zeek.smb_mapping.native_file_system	File system of the tree.	keyword
zeek.smb_mapping.path	Name of the tree path.	keyword
zeek.smb_mapping.service	The type of resource of the tree (disk share, printer share, named pipe, etc.).	keyword
zeek.smb_mapping.share_type	If this is SMB2, a share type will be included. For SMB1, the type of share will be deduced and included as well.	keyword

smtp

The smtp dataset collects the Zeek smtp.log file, which contains SMTP transactions..

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
tls.established	Boolean flag indicating if the TLS negotiation was successful and transitioned to an encrypted tunnel.	boolean
zeek.session_id	A unique identifier of the session	keyword
zeek.smtp.cc	Contents of the CC header.	keyword
zeek.smtp.date	Contents of the Date header.	date
zeek.smtp.first_received	Contents of the first Received header.	keyword
zeek.smtp.from	Contents of the From header.	keyword
zeek.smtp.fuids	(present if base/protocols/smtp/files.bro is loaded) An ordered vector of file unique IDs seen attached to the message.	keyword
zeek.smtp.has_client_activity	Indicates if client activity has been seen, but not yet logged.	boolean
zeek.smtp.helo	Contents of the Helo header.	keyword
zeek.smtp.in_reply_to	Contents of the In-Reply-To header.	keyword
zeek.smtp.is_webmail	Indicates if the message was sent through a webmail interface.	boolean
zeek.smtp.last_reply	The last message that the server sent to the client.	keyword
zeek.smtp.mail_from	Email addresses found in the MAIL FROM header.	keyword
zeek.smtp.msg_id	Contents of the MsgID header.	keyword
zeek.smtp.path	The message transmission path, as extracted from the headers.	ip
zeek.smtp.process_received_from	Indicates if the "Received: from" headers should still be processed.	boolean
zeek.smtp.rcpt_to	Email addresses found in the RCPT TO header.	keyword
zeek.smtp.reply_to	Contents of the ReplyTo header.	keyword
zeek.smtp.second_received	Contents of the second Received header.	keyword
zeek.smtp.subject	Contents of the Subject header.	keyword
zeek.smtp.tls	Indicates that the connection has switched to using TLS.	boolean
zeek.smtp.to	Contents of the To header.	keyword
zeek.smtp.transaction_depth	A count to represent the depth of this message transaction in a single connection where multiple messages were transferred.	integer
zeek.smtp.user_agent	Value of the User-Agent header from the client.	keyword
zeek.smtp.x_originating_ip	Contents of the X-Originating-IP header.	keyword

snmp

The snmp dataset collects the Zeek snmp.log file, which contains SNMP messages.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.session_id	A unique identifier of the session	keyword
zeek.snmp.community	The community string of the first SNMP packet associated with the session. This is used as part of SNMP's (v1 and v2c) administrative/security framework. See RFC 1157 or RFC 1901.	keyword
zeek.snmp.display_string	A system description of the SNMP responder endpoint.	keyword
zeek.snmp.duration	The amount of time between the first packet beloning to the SNMP session and the latest one seen.	double
zeek.snmp.get.bulk_requests	The number of variable bindings in GetBulkRequest PDUs seen for the session.	integer
zeek.snmp.get.requests	The number of variable bindings in GetRequest/GetNextRequest PDUs seen for the session.	integer
zeek.snmp.get.responses	The number of variable bindings in GetResponse/Response PDUs seen for the session.	integer
zeek.snmp.set.requests	The number of variable bindings in SetRequest PDUs seen for the session.	integer
zeek.snmp.up_since	The time at which the SNMP responder endpoint claims it's been up since.	date
zeek.snmp.version	The version of SNMP being used.	keyword

socks

The socks dataset collects the Zeek socks.log file, which contains SOCKS proxy requests.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.outcome	This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.	keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
related.user	All the user names or other user identifiers seen on the event.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
user.name	Short name or login of the user.	keyword
user.name.text	Multi-field of user.name.	match_only_text
zeek.session_id	A unique identifier of the session	keyword
zeek.socks.bound.host	Server bound address. Could be an address, a name or both.	keyword
zeek.socks.bound.port	Server bound port.	integer
zeek.socks.capture_password	Determines if the password will be captured for this request.	boolean
zeek.socks.password	Password used to request a login to the proxy.	keyword
zeek.socks.request.host	Client requested SOCKS address. Could be an address, a name or both.	keyword
zeek.socks.request.port	Client requested port.	integer
zeek.socks.status	Server status for the attempt at using the proxy.	keyword
zeek.socks.user	Username used to request a login to the proxy.	keyword
zeek.socks.version	Protocol version of SOCKS.	integer

software

The software dataset collects details on applications operated by the hosts it sees on the local network. See the documentation for more details.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.geo.city_name	City name.	keyword
host.geo.continent_name	Name of the continent.	keyword
host.geo.country_iso_code	Country ISO code.	keyword
host.geo.country_name	Country name.	keyword
host.geo.location	Longitude and latitude.	geo_point
host.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
host.geo.region_iso_code	Region ISO code.	keyword
host.geo.region_name	Region name.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.type	In the OSI Model this would be the Network Layer. ipv4, ipv6, ipsec, pim, etc The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
tags	List of keywords used to tag each event.	keyword
zeek.software.name	Name of the software (e.g. Apache).	keyword
zeek.software.type	The type of software detected	keyword
zeek.software.version.additional	Additional version information	keyword
zeek.software.version.full	Full unparsed version of the software.	keyword
zeek.software.version.major	Major version of software.	long
zeek.software.version.minor	minor version of software.	long
zeek.software.version.minor2	2nd minor version of software.	long
zeek.software.version.minor3	3rd minor version of software.	long

ssh

The ssh dataset collects the Zeek ssh.log file, which contains SSH connection data.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.outcome	This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.	keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.session_id	A unique identifier of the session	keyword
zeek.ssh.algorithm.cipher	The encryption algorithm in use.	keyword
zeek.ssh.algorithm.compression	The compression algorithm in use.	keyword
zeek.ssh.algorithm.host_key	The server host key's algorithm.	keyword
zeek.ssh.algorithm.key_exchange	The key exchange algorithm in use.	keyword
zeek.ssh.algorithm.mac	The signing (MAC) algorithm in use.	keyword
zeek.ssh.auth.attempts	The number of authentication attemps we observed. There's always at least one, since some servers might support no authentication at all. It's important to note that not all of these are failures, since some servers require two-factor auth (e.g. password AND pubkey).	integer
zeek.ssh.auth.success	Authentication result.	boolean
zeek.ssh.client	The client's version string.	keyword
zeek.ssh.direction	Direction of the connection. If the client was a local host logging into an external host, this would be OUTBOUND. INBOUND would be set for the opposite situation.	keyword
zeek.ssh.host_key	The server's key thumbprint.	keyword
zeek.ssh.server	The server's version string.	keyword
zeek.ssh.version	SSH major version (1 or 2).	integer

ssl

The ssl dataset collects the Zeek ssl.log file, which contains SSL/TLS handshake info.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
client.address	Some event client addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.hash	All the hashes seen on your event. Populating this field, then using it to search for hashes can help in situations where you're unsure what the hash algorithm is (and therefore which key name to search).	keyword
related.ip	All of the IPs seen on your event.	ip
server.address	Some event server addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
tls.cipher	String indicating the cipher used during the current connection.	keyword
tls.client.issuer	Distinguished name of subject of the issuer of the x.509 certificate presented by the client.	keyword
tls.client.ja3	A hash that identifies clients based on how they perform an SSL/TLS handshake.	keyword
tls.client.x509.subject.common_name	List of common names (CN) of subject.	keyword
tls.client.x509.subject.country	List of country (C) code	keyword
tls.client.x509.subject.locality	List of locality names (L)	keyword
tls.client.x509.subject.organization	List of organizations (O) of subject.	keyword
tls.client.x509.subject.organizational_unit	List of organizational units (OU) of subject.	keyword
tls.client.x509.subject.state_or_province	List of state or province names (ST, S, or P)	keyword
tls.curve	String indicating the curve used for the given cipher, when applicable.	keyword
tls.established	Boolean flag indicating if the TLS negotiation was successful and transitioned to an encrypted tunnel.	boolean
tls.resumed	Boolean flag indicating if this TLS connection was resumed from an existing TLS negotiation.	boolean
tls.server.hash.sha1	Certificate fingerprint using the SHA1 digest of DER-encoded version of certificate offered by the server. For consistency with other hash values, this value should be formatted as an uppercase hash.	keyword
tls.server.issuer	Subject of the issuer of the x.509 certificate presented by the server.	keyword
tls.server.ja3s	A hash that identifies servers based on how they perform an SSL/TLS handshake.	keyword
tls.server.not_after	Timestamp indicating when server certificate is no longer considered valid.	date
tls.server.not_before	Timestamp indicating when server certificate is first considered valid.	date
tls.server.subject	Subject of the x.509 certificate presented by the server.	keyword
tls.server.x509.issuer.common_name	List of common name (CN) of issuing certificate authority.	keyword
tls.server.x509.issuer.country	List of country (C) codes	keyword
tls.server.x509.issuer.distinguished_name	Distinguished name (DN) of issuing certificate authority.	keyword
tls.server.x509.issuer.locality	List of locality names (L)	keyword
tls.server.x509.issuer.organization	List of organizations (O) of issuing certificate authority.	keyword
tls.server.x509.issuer.organizational_unit	List of organizational units (OU) of issuing certificate authority.	keyword
tls.server.x509.issuer.state_or_province	List of state or province names (ST, S, or P)	keyword
tls.server.x509.subject.common_name	List of common names (CN) of subject.	keyword
tls.server.x509.subject.country	List of country (C) code	keyword
tls.server.x509.subject.locality	List of locality names (L)	keyword
tls.server.x509.subject.organization	List of organizations (O) of subject.	keyword
tls.server.x509.subject.organizational_unit	List of organizational units (OU) of subject.	keyword
tls.server.x509.subject.state_or_province	List of state or province names (ST, S, or P)	keyword
tls.version	Numeric part of the version parsed from the original string.	keyword
tls.version_protocol	Normalized lowercase protocol name parsed from original string.	keyword
zeek.session_id	A unique identifier of the session	keyword
zeek.ssl.cipher	SSL/TLS cipher suite that was logged.	keyword
zeek.ssl.client.cert_chain	Chain of certificates offered by the client to validate its complete signing chain.	keyword
zeek.ssl.client.cert_chain_fuids	An ordered vector of certificate file identifiers for the certificates offered by the client.	keyword
zeek.ssl.client.issuer.common_name	Common name of the signer of the X.509 certificate offered by the client.	keyword
zeek.ssl.client.issuer.country	Country code of the signer of the X.509 certificate offered by the client.	keyword
zeek.ssl.client.issuer.locality	Locality of the signer of the X.509 certificate offered by the client.	keyword
zeek.ssl.client.issuer.organization	Organization of the signer of the X.509 certificate offered by the client.	keyword
zeek.ssl.client.issuer.organizational_unit	Organizational unit of the signer of the X.509 certificate offered by the client.	keyword
zeek.ssl.client.issuer.state	State or province name of the signer of the X.509 certificate offered by the client.	keyword
zeek.ssl.client.subject.common_name	Common name of the X.509 certificate offered by the client.	keyword
zeek.ssl.client.subject.country	Country code of the X.509 certificate offered by the client.	keyword
zeek.ssl.client.subject.locality	Locality of the X.509 certificate offered by the client.	keyword
zeek.ssl.client.subject.organization	Organization of the X.509 certificate offered by the client.	keyword
zeek.ssl.client.subject.organizational_unit	Organizational unit of the X.509 certificate offered by the client.	keyword
zeek.ssl.client.subject.state	State or province name of the X.509 certificate offered by the client.	keyword
zeek.ssl.curve	Elliptic curve that was logged when using ECDH/ECDHE.	keyword
zeek.ssl.established	Flag to indicate if this ssl session has been established successfully.	boolean
zeek.ssl.last_alert	Last alert that was seen during the connection.	keyword
zeek.ssl.next_protocol	Next protocol the server chose using the application layer next protocol extension.	keyword
zeek.ssl.resumed	Flag to indicate if the session was resumed reusing the key material exchanged in an earlier connection.	boolean
zeek.ssl.server.cert_chain	Chain of certificates offered by the server to validate its complete signing chain.	keyword
zeek.ssl.server.cert_chain_fuids	An ordered vector of certificate file identifiers for the certificates offered by the server.	keyword
zeek.ssl.server.issuer.common_name	Common name of the signer of the X.509 certificate offered by the server.	keyword
zeek.ssl.server.issuer.country	Country code of the signer of the X.509 certificate offered by the server.	keyword
zeek.ssl.server.issuer.locality	Locality of the signer of the X.509 certificate offered by the server.	keyword
zeek.ssl.server.issuer.organization	Organization of the signer of the X.509 certificate offered by the server.	keyword
zeek.ssl.server.issuer.organizational_unit	Organizational unit of the signer of the X.509 certificate offered by the server.	keyword
zeek.ssl.server.issuer.state	State or province name of the signer of the X.509 certificate offered by the server.	keyword
zeek.ssl.server.name	Value of the Server Name Indicator SSL/TLS extension. It indicates the server name that the client was requesting.	keyword
zeek.ssl.server.subject.common_name	Common name of the X.509 certificate offered by the server.	keyword
zeek.ssl.server.subject.country	Country code of the X.509 certificate offered by the server.	keyword
zeek.ssl.server.subject.locality	Locality of the X.509 certificate offered by the server.	keyword
zeek.ssl.server.subject.organization	Organization of the X.509 certificate offered by the server.	keyword
zeek.ssl.server.subject.organizational_unit	Organizational unit of the X.509 certificate offered by the server.	keyword
zeek.ssl.server.subject.state	State or province name of the X.509 certificate offered by the server.	keyword
zeek.ssl.validation.code	Result of certificate validation for this connection, given as OpenSSL validation code.	keyword
zeek.ssl.validation.status	Result of certificate validation for this connection.	keyword
zeek.ssl.version	SSL/TLS version that was logged.	keyword

stats

The stats dataset collects the Zeek stats.log file, which contains memory/event/packet/lag statistics.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
tags	List of keywords used to tag each event.	keyword
zeek.session_id	A unique identifier of the session	keyword
zeek.stats.bytes.received	Number of bytes received since the last stats interval if reading live traffic.	long
zeek.stats.connections.icmp.active	ICMP connections currently in memory.	integer
zeek.stats.connections.icmp.count	ICMP connections seen since last stats interval.	integer
zeek.stats.connections.tcp.active	TCP connections currently in memory.	integer
zeek.stats.connections.tcp.count	TCP connections seen since last stats interval.	integer
zeek.stats.connections.udp.active	UDP connections currently in memory.	integer
zeek.stats.connections.udp.count	UDP connections seen since last stats interval.	integer
zeek.stats.dns_requests.active	Current number of DNS requests awaiting a reply.	integer
zeek.stats.dns_requests.count	Number of DNS requests seen since last stats interval.	integer
zeek.stats.events.processed	Number of events processed since the last stats interval.	integer
zeek.stats.events.queued	Number of events that have been queued since the last stats interval.	integer
zeek.stats.files.active	Current number of files actively being seen.	integer
zeek.stats.files.count	Number of files seen since last stats interval.	integer
zeek.stats.memory	Amount of memory currently in use in MB.	integer
zeek.stats.packets.dropped	Number of packets dropped since the last stats interval if reading live traffic.	long
zeek.stats.packets.processed	Number of packets processed since the last stats interval.	long
zeek.stats.packets.received	Number of packets seen on the link since the last stats interval if reading live traffic.	long
zeek.stats.peer	Peer that generated this log. Mostly for clusters.	keyword
zeek.stats.reassembly_size.file	Current size of File data in reassembly.	integer
zeek.stats.reassembly_size.frag	Current size of packet fragment data in reassembly.	integer
zeek.stats.reassembly_size.tcp	Current size of TCP data in reassembly.	integer
zeek.stats.reassembly_size.unknown	Current size of unknown data in reassembly (this is only PIA buffer right now).	integer
zeek.stats.timers.active	Current number of scheduled timers.	integer
zeek.stats.timers.count	Number of timers scheduled since last stats interval.	integer
zeek.stats.timestamp_lag	Lag between the wall clock and packet timestamps if reading live traffic.	integer

syslog

The syslog dataset collects the Zeek syslog.log file which contains syslog messages.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
log.syslog.facility.name	The Syslog text-based facility of the log event, if available.	keyword
log.syslog.severity.name	The Syslog numeric severity of the log event, if available. If the event source publishing via Syslog provides a different severity value (e.g. firewall, IDS), your source's text severity should go to log.level. If the event source does not specify a distinct severity, you can optionally copy the Syslog severity to log.level.	keyword
message	For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message.	match_only_text
network.community_id	A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.	keyword
network.protocol	In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.	keyword
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.session_id	A unique identifier of the session	keyword
zeek.syslog.facility	Syslog facility for the message.	keyword
zeek.syslog.msg	The plain text message.	keyword
zeek.syslog.severity	Syslog severity for the message.	keyword

traceroute

The traceroute dataset collects the Zeek traceroute.log file, which contains traceroute detections.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
network.transport	Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.	keyword
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
tags	List of keywords used to tag each event.	keyword
zeek.session_id	A unique identifier of the session	keyword

tunnel

The tunnel dataset collects the Zeek tunnel.log file, which contains tunneling protocol events.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.action	The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
related.ip	All of the IPs seen on your event.	ip
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.session_id	A unique identifier of the session	keyword
zeek.tunnel.action	The type of activity that occurred.	keyword
zeek.tunnel.type	The type of tunnel.	keyword

weird

The weird dataset collects the Zeek weird.log file, which contains unexpected network-level activity.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
destination.address	Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
destination.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
destination.as.organization.name	Organization name.	keyword
destination.as.organization.name.text	Multi-field of destination.as.organization.name.	match_only_text
destination.geo.city_name	City name.	keyword
destination.geo.continent_name	Name of the continent.	keyword
destination.geo.country_iso_code	Country ISO code.	keyword
destination.geo.country_name	Country name.	keyword
destination.geo.location	Longitude and latitude.	geo_point
destination.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
destination.geo.region_iso_code	Region ISO code.	keyword
destination.geo.region_name	Region name.	keyword
destination.ip	IP address of the destination (IPv4 or IPv6).	ip
destination.port	Port of the destination.	long
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
event.category	This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.	keyword
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
related.ip	All of the IPs seen on your event.	ip
rule.name	The name of the rule or signature generating the event.	keyword
source.address	Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.	keyword
source.as.number	Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.	long
source.as.organization.name	Organization name.	keyword
source.as.organization.name.text	Multi-field of source.as.organization.name.	match_only_text
source.geo.city_name	City name.	keyword
source.geo.continent_name	Name of the continent.	keyword
source.geo.country_iso_code	Country ISO code.	keyword
source.geo.country_name	Country name.	keyword
source.geo.location	Longitude and latitude.	geo_point
source.geo.name	User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.	keyword
source.geo.region_iso_code	Region ISO code.	keyword
source.geo.region_name	Region name.	keyword
source.ip	IP address of the source (IPv4 or IPv6).	ip
source.port	Port of the source.	long
tags	List of keywords used to tag each event.	keyword
zeek.session_id	A unique identifier of the session	keyword
zeek.weird.additional_info	Additional information accompanying the weird if any.	keyword
zeek.weird.identifier	This field is to be provided when a weird is generated for the purpose of deduplicating weirds. The identifier string should be unique for a single instance of the weird. This field is used to define when a weird is conceptually a duplicate of a previous weird.	keyword
zeek.weird.name	The name of the weird that occurred.	keyword
zeek.weird.notice	Indicate if this weird was also turned into a notice.	boolean
zeek.weird.peer	The peer that originated this weird. This is helpful in cluster deployments if a particular cluster node is having trouble to help identify which node is having trouble.	keyword

x509

The x509 dataset collects the Zeek x509.log file, which contains X.509 certificate info.

Exported fields

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
cloud.account.id	The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.	keyword
cloud.availability_zone	Availability zone in which this host, resource, or service is located.	keyword
cloud.image.id	Image ID for the cloud instance.	keyword
cloud.instance.id	Instance ID of the host machine.	keyword
cloud.instance.name	Instance name of the host machine.	keyword
cloud.machine.type	Machine type of the host machine.	keyword
cloud.project.id	The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.	keyword
cloud.provider	Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.	keyword
cloud.region	Region in which this host, resource, or service is located.	keyword
container.id	Unique container id.	keyword
container.image.name	Name of the image the container was built on.	keyword
container.labels	Image labels.	object
container.name	Container name.	keyword
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
ecs.version	ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.	keyword
error.message	Error message.	match_only_text
event.created	event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.	date
event.dataset	Event dataset	constant_keyword
event.id	Unique ID to describe the event.	keyword
event.ingested	Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.	date
event.kind	This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data is coming in at a regular interval or not.	keyword
event.module	Event module	constant_keyword
event.type	This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.	keyword
file.x509.alternative_names	List of subject alternative names (SAN). Name types vary by certificate authority and certificate type but commonly contain IP addresses, DNS names (and wildcards), and email addresses.	keyword
file.x509.issuer.common_name	List of common name (CN) of issuing certificate authority.	keyword
file.x509.issuer.country	List of country (C) codes	keyword
file.x509.issuer.distinguished_name	Distinguished name (DN) of issuing certificate authority.	keyword
file.x509.issuer.locality	List of locality names (L)	keyword
file.x509.issuer.organization	List of organizations (O) of issuing certificate authority.	keyword
file.x509.issuer.organizational_unit	List of organizational units (OU) of issuing certificate authority.	keyword
file.x509.issuer.state_or_province	List of state or province names (ST, S, or P)	keyword
file.x509.not_after	Time at which the certificate is no longer considered valid.	date
file.x509.not_before	Time at which the certificate is first considered valid.	date
file.x509.public_key_algorithm	Algorithm used to generate the public key.	keyword
file.x509.public_key_curve	The curve used by the elliptic curve public key algorithm. This is algorithm specific.	keyword
file.x509.public_key_exponent	Exponent used to derive the public key. This is algorithm specific.	long
file.x509.public_key_size	The size of the public key space in bits.	long
file.x509.serial_number	Unique serial number issued by the certificate authority. For consistency, if this value is alphanumeric, it should be formatted without colons and uppercase characters.	keyword
file.x509.signature_algorithm	Identifier for certificate signature algorithm. We recommend using names found in Go Lang Crypto library. See https://github.com/golang/go/blob/go1.14/src/crypto/x509/x509.go#L337-L353.	keyword
file.x509.subject.common_name	List of common names (CN) of subject.	keyword
file.x509.subject.country	List of country (C) code	keyword
file.x509.subject.distinguished_name	Distinguished name (DN) of the certificate subject entity.	keyword
file.x509.subject.locality	List of locality names (L)	keyword
file.x509.subject.organization	List of organizations (O) of subject.	keyword
file.x509.subject.organizational_unit	List of organizational units (OU) of subject.	keyword
file.x509.subject.state_or_province	List of state or province names (ST, S, or P)	keyword
file.x509.version_number	Version of x509 format.	keyword
host.architecture	Operating system architecture.	keyword
host.containerized	If the host is a container.	boolean
host.domain	Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.	keyword
host.hostname	Hostname of the host. It normally contains what the hostname command returns on the host machine.	keyword
host.id	Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.	keyword
host.ip	Host ip addresses.	ip
host.mac	Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen.	keyword
host.name	Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.	keyword
host.os.build	OS build information.	keyword
host.os.codename	OS codename, if any.	keyword
host.os.family	OS family (such as redhat, debian, freebsd, windows).	keyword
host.os.kernel	Operating system kernel version as a raw string.	keyword
host.os.name	Operating system name, without the version.	keyword
host.os.name.text	Multi-field of host.os.name.	match_only_text
host.os.platform	Operating system platform (such centos, ubuntu, windows).	keyword
host.os.version	Operating system version as a raw string.	keyword
host.type	Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.	keyword
input.type	Type of Filebeat input.	keyword
log.file.path	Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.	keyword
log.flags	Flags for the log file.	keyword
log.offset	Offset of the entry in the log file.	long
tags	List of keywords used to tag each event.	keyword
zeek.session_id	A unique identifier of the session	keyword
zeek.x509.basic_constraints.certificate_authority	CA flag set or not.	boolean
zeek.x509.basic_constraints.path_length	Maximum path length.	integer
zeek.x509.certificate.common_name	Last (most specific) common name.	keyword
zeek.x509.certificate.curve	Curve, if EC-certificate.	keyword
zeek.x509.certificate.exponent	Exponent, if RSA-certificate.	keyword
zeek.x509.certificate.issuer.common_name	Common name provided in the certificate issuer field.	keyword
zeek.x509.certificate.issuer.country	Country provided in the certificate issuer field.	keyword
zeek.x509.certificate.issuer.locality	Locality provided in the certificate issuer field.	keyword
zeek.x509.certificate.issuer.organization	Organization provided in the certificate issuer field.	keyword
zeek.x509.certificate.issuer.organizational_unit	Organizational unit provided in the certificate issuer field.	keyword
zeek.x509.certificate.issuer.state	State or province provided in the certificate issuer field.	keyword
zeek.x509.certificate.key.algorithm	Name of the key algorithm.	keyword
zeek.x509.certificate.key.length	Key length in bits.	integer
zeek.x509.certificate.key.type	Key type, if key parseable by openssl (either rsa, dsa or ec).	keyword
zeek.x509.certificate.serial	Serial number.	keyword
zeek.x509.certificate.signature_algorithm	Name of the signature algorithm.	keyword
zeek.x509.certificate.subject.common_name	Common name provided in the certificate subject.	keyword
zeek.x509.certificate.subject.country	Country provided in the certificate subject.	keyword
zeek.x509.certificate.subject.locality	Locality provided in the certificate subject.	keyword
zeek.x509.certificate.subject.organization	Organization provided in the certificate subject.	keyword
zeek.x509.certificate.subject.organizational_unit	Organizational unit provided in the certificate subject.	keyword
zeek.x509.certificate.subject.state	State or province provided in the certificate subject.	keyword
zeek.x509.certificate.valid.from	Timestamp before when certificate is not valid.	date
zeek.x509.certificate.valid.until	Timestamp after when certificate is not valid.	date
zeek.x509.certificate.version	Version number.	integer
zeek.x509.id	File id of this certificate.	keyword
zeek.x509.log_cert	Present if policy/protocols/ssl/log-hostcerts-only.bro is loaded Logging of certificate is suppressed if set to F.	boolean
zeek.x509.san.dns	List of DNS entries in SAN.	keyword
zeek.x509.san.email	List of email entries in SAN.	keyword
zeek.x509.san.ip	List of IP entries in SAN.	ip
zeek.x509.san.other_fields	True if the certificate contained other, not recognized or parsed name fields.	boolean
zeek.x509.san.uri	List of URI entries in SAN.	keyword

Changelog

Version	Details	Kibana version(s)
2.23.0	Enhancement View pull request Set sensitive values as secret.	8.12.0 or higher
2.22.4	Bug fix View pull request Prevent null dereference exceptions for missing fields. Bug fix View pull request Improve case-insensitive string comparisons. Bug fix View pull request Clean up multi-line syntax in ingest pipelines.	8.7.1 or higher
2.22.3	Bug fix View pull request Fix ingest pipeline conditional field handling.	8.7.1 or higher
2.22.2	Enhancement View pull request Changed owners	8.7.1 or higher
2.22.1	Bug fix View pull request Fix exclude_files pattern.	8.7.1 or higher
2.22.0	Enhancement View pull request Limit request tracer log count to five.	8.7.1 or higher
2.21.0	Enhancement View pull request ECS version updated to 8.11.0.	8.7.1 or higher
2.20.0	Enhancement View pull request Improve 'event.original' check to avoid errors if set.	8.7.1 or higher
2.19.1	Bug fix View pull request Fix mapping of dns.answers	8.7.1 or higher
2.19.0	Enhancement View pull request Use dynamic mappings for object fields.	8.7.1 or higher
2.18.0	Enhancement View pull request Modified the field definitions to reference ECS where possible and remove invalid field attributes.	8.7.1 or higher
2.17.0	Enhancement View pull request ECS version updated to 8.10.0.	8.7.1 or higher
2.16.0	Enhancement View pull request The format_version in the package manifest changed from 2.11.0 to 3.0.0. Removed dotted YAML keys from package manifest. Added 'owner.type: elastic' to package manifest.	8.7.1 or higher
2.15.0	Enhancement View pull request Add tags.yml file so that integration's dashboards and saved searches are tagged with "Security Solution" and displayed in the Security Solution UI.	8.7.1 or higher
2.14.1	Bug fix View pull request Fix template snippet escaping. Bug fix View pull request Fix event.type for error in sip data stream.	8.7.1 or higher
2.14.0	Enhancement View pull request Update package-spec to 2.10.0.	8.7.1 or higher
2.13.0	Enhancement View pull request Add support for HTTP request tracing.	8.7.1 or higher
2.12.0	Enhancement View pull request Update package to ECS 8.9.0.	8.7.1 or higher
2.11.2	Bug fix View pull request Add missing processors support for dhcp and smb_mapping logs. Bug fix View pull request Fix documentation link for processors.	8.7.1 or higher
2.11.1	Bug fix View pull request Fix handling of zeek HTTP host when the URI contains a domain.	8.7.1 or higher
2.11.0	Enhancement View pull request Convert visualizations to lens.	8.7.1 or higher
2.10.0	Enhancement View pull request Ensure event.kind is correctly set for pipeline errors.	8.1.0 or higher
2.9.0	Enhancement View pull request Update package to ECS 8.8.0.	8.1.0 or higher
2.8.0	Enhancement View pull request Update package to ECS 8.7.0.	8.1.0 or higher
2.7.1	Enhancement View pull request Added categories and/or subcategories.	8.1.0 or higher
2.7.0	Enhancement View pull request Update package to ECS 8.6.0.	8.1.0 or higher
2.6.1	Enhancement View pull request Migrate the visualizations to by value in dashboards to minimize the saved object clutter and reduce time to load	8.1.0 or higher
2.6.0	Enhancement View pull request Update package to ECS 8.5.0.	8.0.0 or higher
2.5.2	Enhancement View pull request Remove duplicate field.	8.0.0 or higher
2.5.1	Enhancement View pull request Use ECS geo.location definition.	8.0.0 or higher
2.5.0	Enhancement View pull request Add threat.indicator handling	8.0.0 or higher
2.4.1	Enhancement View pull request Remove unused visualizations	8.0.0 or higher
2.4.0	Enhancement View pull request Update package to ECS 8.4.0	8.0.0 or higher
2.3.1	Enhancement View pull request Update package name and description to align with standard wording	8.0.0 or higher
2.3.0	Enhancement View pull request Update package to ECS 8.3.0.	8.0.0 or higher
2.2.0	Enhancement View pull request Add new data sets for known_hosts, known_certs, known_services, & software logs files.	—
2.1.0	Enhancement View pull request Add JA3/JA3S parsing & fix certificate data parsing; hash, not valid before/after timestamps	8.0.0 or higher
2.0.0	Bug fix View pull request Migrate map visualisation from tile_map to map object	8.0.0 or higher
1.9.0	Enhancement View pull request Add message field to zeek.syslog datastream Bug fix View pull request Fix field definition for zeek.syslog.msg	—
1.8.0	Bug fix View pull request Make sure field values are valid for ECS	7.14.0 or higher 8.0.0 or higher
1.7.0	Enhancement View pull request Update to ECS 8.2	—
1.6.1	Enhancement View pull request Add documentation for multi-fields	7.14.0 or higher 8.0.0 or higher
1.6.0	Enhancement View pull request Update to ECS 8.0	7.14.0 or higher 8.0.0 or higher
1.5.4	Bug fix View pull request Remove redundant event.ingested from Zeek pipelines.	7.14.0 or higher 8.0.0 or higher
1.5.3	Bug fix View pull request Ignore URI parse failures in zeek.http data.	—
1.5.2	Bug fix View pull request Regenerate test files using the new GeoIP database	7.14.0 or higher 8.0.0 or higher
1.5.1	Bug fix View pull request Change test public IPs to the supported subset	—
1.5.0	Enhancement View pull request Add 8.0.0 version constraint	7.14.0 or higher 8.0.0 or higher
1.4.3	Enhancement View pull request Uniform with guidelines	7.14.0 or higher
1.4.2	Enhancement View pull request Update Title and Description.	—
1.4.1	Bug fix View pull request Fix logic that checks for the 'forwarded' tag	—
1.4.0	Enhancement View pull request Update to ECS 1.12.0	—
1.3.0	Enhancement View pull request Add Sigature and NTP data streams	7.14.0 or higher
1.2.2	Enhancement View pull request Convert to generated ECS fields	—
1.2.1	Enhancement View pull request update to ECS 1.11.0	—
1.2.0	Enhancement View pull request Update documentation to fit mdx spec	—
1.1.0	Enhancement View pull request Update integration description	—
1.0.0	Enhancement View pull request make GA Enhancement View pull request Set "event.module" and "event.dataset"	7.14.0 or higher
0.8.4	Enhancement View pull request Add support for Splunk authorization tokens	—
0.8.3	Bug fix View pull request Fix Third Party Api ingest pipeline	—
0.8.2	Enhancement View pull request Use wildcard field type.	—
0.8.1	Enhancement View pull request Add support for ISO8601 timestamps	—
0.8.0	Enhancement View pull request Update to ECS 1.10.0, adding processor fields and replacing default tags from . to - between words.	—
0.7.4	Enhancement View pull request Add system test for httpjson Splunk input.	—
0.7.3	Enhancement View pull request Make event.original optional	—
0.7.2	Bug fix View pull request adding back 0.7.0 changes	—
0.7.1	Bug fix View pull request rolling back to 0.6.0 changes for compatibility with 7.12	—
0.7.0	Enhancement View pull request moving edge processing to ingest pipeline	—
0.6.1	Enhancement View pull request update to ECS 1.9.0	—
0.1.0	Enhancement View pull request initial release	—