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Last updated: Apr 10th, 2023

Trendmicro

collect Trendmicro Deep Security events with elastic agent.

Beta feature

This functionality is in beta and is subject to change. The design and code is less mature than official generally available features and is being provided as-is with no warranties. Beta features are not subject to the support service level agreement of official generally available features.

What is an Elastic integration?

This integration is powered by Elastic Agent. Elastic Agent is a single, unified way to add monitoring for logs, metrics, and other types of data to a host. It can also protect hosts from security threats, query data from operating systems, forward data from remote services or hardware, and more. Refer to our documentation for a detailed comparison between Beats and Elastic Agent.

Prefer to use Beats for this use case? See Filebeat modules for logs or Metricbeat modules for metrics.

Overview

Trend Micro Deep Security provides advanced server security for physical, virtual, and cloud servers. It protects enterprise applications and data from breaches and business disruptions without requiring emergency patching. The Trend Micro Deep Security integration collects and parses data received from Deep Security via a log file.

Data Streams

This integration collects deep_security data streams.See more details from Deep Security logging documentation here.

Requirements

Elastic Agent is required to ingest data from Deep Security log files. This integration has been tested against Deep Security v12 LTS. Please note is you have a Trend Micro Vision One XDR license, we recommend using the Vision One integration to ingest Deep Security events. For steps on how to configure Deep Security events with Vision One, please see here.

Logs

Deep Security Logs

Deep Security logs collect the trendmicro deep security logs.

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
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 is running.
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
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
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
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_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.domain
The domain name of the destination system. This value may be a host name, a fully qualified domain name, or another host naming format. The value may derive from the original event or be added from enrichment.
keyword
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.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.nat.ip
Translated ip of destination based NAT sessions (e.g. internet to private DMZ) Typically used with load balancers, firewalls, or routers.
ip
destination.nat.port
Port the source session is translated to by NAT Device. Typically used with load balancers, firewalls, or routers.
long
destination.port
Port of the destination.
long
destination.user.group.id
Unique identifier for the group on the system/platform.
keyword
destination.user.group.name
Name of the group.
keyword
destination.user.id
Unique identifier of the user.
keyword
destination.user.name
Short name or login of the user.
keyword
destination.user.name.text
Multi-field of destination.user.name.
match_only_text
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.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.code
Identification code for this event, if one exists. Some event sources use event codes to identify messages unambiguously, regardless of message language or wording adjustments over time. An example of this is the Windows Event ID.
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 coming in at a regular interval or not.
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.risk_score
Risk score or priority of the event (e.g. security solutions). Use your system's original value here.
float
event.severity
The numeric severity of the event according to your event source. What the different severity values mean can be different between sources and use cases. It's up to the implementer to make sure severities are consistent across events from the same source. The Syslog severity belongs in log.syslog.severity.code. event.severity is meant to represent the severity according to the event source (e.g. firewall, IDS). If the event source does not publish its own severity, you may optionally copy the log.syslog.severity.code to event.severity.
long
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.group
Primary group name of the file.
keyword
file.hash.md5
MD5 hash.
keyword
file.hash.sha1
SHA1 hash.
keyword
file.hash.sha256
SHA256 hash.
keyword
file.inode
Inode representing the file in the filesystem.
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
file.type
File type (file, dir, or symlink).
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.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
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.
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.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
input.type
Input type
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.offset
Log offset
long
log.source.address
Source address from which the log event was read / sent from.
keyword
log.syslog.priority
Syslog numeric priority of the event, if available. According to RFCs 5424 and 3164, the priority is 8 * facility + severity. This number is therefore expected to contain a value between 0 and 191.
long
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.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.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.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
observer.egress.zone
Network zone of outbound traffic as reported by the observer to categorize the destination area of egress traffic, e.g. Internal, External, DMZ, HR, Legal, etc.
keyword
observer.hostname
Hostname of the observer.
keyword
observer.ingress.interface.name
Interface name as reported by the system.
keyword
observer.ingress.zone
Network zone of incoming traffic as reported by the observer to categorize the source area of ingress traffic. e.g. internal, External, DMZ, HR, Legal, etc.
keyword
observer.ip
IP addresses of the observer.
ip
observer.product
The product name of the observer.
keyword
observer.type
The type of the observer the data is coming from. There is no predefined list of observer types. Some examples are forwarder, firewall, ids, ips, proxy, poller, sensor, APM server.
keyword
observer.vendor
Vendor name of the observer.
keyword
observer.version
Observer version.
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.hosts
All hostnames or other host identifiers seen on your event. Example identifiers include FQDNs, domain names, workstation names, or aliases.
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
rule.category
A categorization value keyword used by the entity using the rule for detection of this 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
rule.uuid
A rule ID that is unique within the scope of a set or group of agents, observers, or other entities using the rule for detection of this event.
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.domain
The domain name of the source system. This value may be a host name, a fully qualified domain name, or another host naming format. The value may derive from the original event or be added from enrichment.
keyword
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.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.nat.ip
Translated ip of source based NAT sessions (e.g. internal client to internet) Typically connections traversing load balancers, firewalls, or routers.
ip
source.nat.port
Translated port of source based NAT sessions. (e.g. internal client to internet) Typically used with load balancers, firewalls, or routers.
long
source.port
Port of the source.
long
source.user.group.id
Unique identifier for the group on the system/platform.
keyword
source.user.group.name
Name of the group.
keyword
source.user.id
Unique identifier of the user.
keyword
source.user.name
Short name or login of the user.
keyword
source.user.name.text
Multi-field of source.user.name.
match_only_text
tags
List of keywords used to tag each event.
keyword
trendmicro.event.action_reason
The reason why application control performed the specified action, such as "notWhitelisted" (the software did not have a matching rule, and application control was configured to block unrecognized software).
keyword
trendmicro.event.aggregation_type
An integer that indicates how the event is aggregated.
keyword
trendmicro.event.category
proper categorization of some events.
keyword
trendmicro.event.count
The number of occurrences of the event.
keyword
trendmicro.event.ethernet_frame_type
Connection ethernet frame type.
keyword
trendmicro.event.ips_flag
A combined value that includes the sum of the flag values.
keyword
trendmicro.event.ips_packet_position
Position within packet of data that triggered the event.
keyword
trendmicro.event.ips_stream_position
Position within stream of data that triggered the event.
keyword
trendmicro.event.log_inspection_description
The Log Inspection sub-rule which triggered this event.
keyword
trendmicro.event.malware_target
The file, process, or registry key (if any) that the malware was trying to affect. If the malware was trying to affect more than one, this field will contain the value "Multiple."
keyword
trendmicro.event.malware_target_type
The type of system resource that this malware was trying to affect, such as the file system, a process, or Windows registry.
keyword
trendmicro.event.message
The event short message.
keyword
trendmicro.event.name
Name of the event type.
keyword
trendmicro.event.old_file_path
The previous integrity rule target entity to capture the rename action from the previous target entity to the new, which is recorded in the filePath field.
keyword
trendmicro.event.packet_data
The packet data, represented in Base64.
keyword
trendmicro.event.packet_fragmentation
Packet Fragmentation Information.
keyword
trendmicro.event.probable_threat_type
Probable Threat Type.Indicates the most likely type of threat contained in the file after Predictive Machine Learning compared the analysis to other known threats(separate by semicolon";" ).
keyword
trendmicro.event.signature_id
The "Signature ID" value indicates what kind of event has been triggered.
integer
trendmicro.event.spyware_resourcetype
Resource Type values.For example, if there's a spyware file named spy.exe that creates a registry run key to keep its persistence after system reboot, there will be two items in the spyware report; the item for spy.exe has Files and Directories, and the item for the run key registry has System Registry.
keyword
trendmicro.event.spyware_risklevel
Risk level values.
keyword
trendmicro.event.tags
Deep Security event tags assigned to the event.
keyword
trendmicro.event.target
The subject of the event. It can be the administrator account logged into Deep Security Manager, or a computer.
keyword
trendmicro.event.target_id
The identifier added in the manager.
keyword
trendmicro.event.target_type
The event target entity type.
keyword
trendmicro.event.tcp_flag
TCP Flag.
keyword
trendmicro.event.tenant_id
Deep Security tenant ID.
keyword
trendmicro.event.tenant_name
Deep Security tenant name.
keyword
trendmicro.event.threat_probability
Indicates how closely (in %) the file matched the malware model.
keyword
trendmicro.event.threat_type
The type of system resource that this malware was trying to affect, such as the file system, a process, or Windows registry.
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
user_agent.original
Unparsed user_agent string.
keyword
user_agent.original.text
Multi-field of user_agent.original.
match_only_text

Changelog

VersionDetails
0.2.0
Enhancement View pull request
Update package to ECS 8.7.0.
0.1.0
Enhancement View pull request
Initial draft of the package