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Citrix Web App Firewall Integration for Elastic

Version 1.20.0 (View all)
Subscription level
What's this?
Basic
Developed by
What's this?
Elastic
Ingestion method(s) File, Network Protocol
Minimum Kibana version(s) 9.0.0
8.11.0
Note

This AI-assisted guide was validated by our engineers. You may need to adjust the steps to match your environment.

The Citrix Web App Firewall integration for Elastic enables you to collect and analyze logs from Citrix ADC and NetScaler appliances. This integration provides visibility into your web application security posture by capturing detailed event data, including security violations, signature matches, and network metadata.

This integration has been tested and verified with the following third-party vendor versions:

  • Citrix ADC version 13.1
  • NetScaler version 10.0

The integration is designed to work with any Citrix or NetScaler appliance capable of exporting logs in the Common Event Format (CEF).

This integration collects logs from Citrix appliances by receiving syslog data over the network using TCP or UDP, or by reading logs directly from local files on the system. You'll deploy an Elastic Agent on a host configured as a syslog receiver or one that has access to the appliance's log files. The agent processes the incoming data—using the citrix_waf.log data stream—and forwards it to the Elastic Stack. For the best parsing results and data fidelity, it's recommended to configure your Citrix appliance to export logs in Common Event Format (CEF).

The Citrix Web App Firewall integration collects log messages of the following types:

  • Citrix WAF logs (using Syslog): Citrix WAF logs transmitted over the network using TCP or UDP, including real-time security violations and signature match events.
  • Citrix WAF logs (using File): Citrix WAF logs collected from local files on the system where the Elastic Agent is running.
  • Application firewall logs: Detailed records of security violations, blocked requests, and signature matches generated by the WAF engine.
  • Security event metadata: Information regarding the specific security check triggered, the action taken (such as block or log), and the severity of the event.
  • Network metadata: Source and destination IP addresses, ports, and transport protocols involved in the web transactions.

The integration includes the following data stream:

  • log: This data stream captures security and audit logs including violations, signature matches, and system events.

You can use the Citrix Web App Firewall integration to support various security and operational requirements:

  • Threat detection and response: Identify and mitigate web-based attacks such as SQL injection, cross-site scripting (XSS), and other security violations.
  • Security posture assessment: Analyze signature matches and security event metadata to evaluate the effectiveness of WAF policies and identify areas for improvement.
  • Compliance and auditing: Store security logs to meet regulatory requirements and provide a verifiable trail of security-related events for audits.
  • Traffic analysis: Gain insights into network metadata, including source and destination patterns, to understand application usage and identify potential anomalies.

Before you can collect logs from Citrix Web App Firewall, ensure you meet the following requirements.

You need these Citrix-specific prerequisites:

  • Administrative access with full credentials for the Citrix ADC / NetScaler management GUI or CLI.
  • An active license for the Citrix Web App Firewall feature installed on your appliance.
  • Unrestricted network access between the Citrix appliance and the Elastic Agent on the configured Syslog port, which defaults to 9001 for this integration.
  • The ability to create and bind global audit policies to the APPFW_GLOBAL bind point.
  • A firmware version that supports Common Event Format (CEF) logging.

You need these Elastic prerequisites:

  • Elastic Stack version 8.11.0 or later.
  • An Elastic Agent installed on a host reachable by the Citrix appliance and enrolled in a Fleet policy.
  • The Citrix WAF integration added to the Elastic Agent's policy using Kibana.
  • Firewall rules that allow inbound traffic to the Elastic Agent on the specified Syslog port from the Citrix appliance's NSIP or SNIP.

Elastic Agent must be installed on a host that can receive syslog data or access the log files from your Citrix appliance. For more details, check the Elastic Agent installation instructions. You can install only one Elastic Agent per host.

Elastic Agent is required to stream data from the syslog or log file receiver and ship the data to Elastic, where the events will then be processed using the integration's ingest pipelines.

You must configure your Citrix NetScaler or ADC appliance to generate logs in Common Event Format (CEF) and send them to the Elastic Agent.

The integration requires logs in CEF for proper field mapping.

  1. Log in to the NetScaler or Citrix ADC management interface.
  2. Navigate to Security > Citrix Web App Firewall > Change Engine Settings.
  3. In the General Settings section, locate the CEF Logging checkbox.
  4. Check Enable CEF Logging.
  5. (Optional) Check GeoLocation Logging if you wish to include geolocation data in the logs.
  6. Click OK to save.

Alternatively, you can use the command line interface (CLI):

set appfw settings CEFLogging on
		

Define where the logs should be sent by specifying the Elastic Agent IP address and port.

  1. Navigate to Configuration > System > Auditing > Syslog.
  2. Click on the Servers tab and click Add.
  3. Configure the following details:
    • Name: Elastic_Syslog_Server
    • IP Address: Enter the IP address of your Elastic Agent (replace with your actual value).
    • Port: 9001 (or your configured port).
    • Transport Type: Select UDP or TCP.
    • Log Level: Select ALL.
  4. Click Create.

Alternatively, you can use the CLI:

# Replace <Elastic_Agent_IP> with your actual value
add audit syslogAction Elastic_Syslog_Server <Elastic_Agent_IP> -serverPort 9001 -logLevel ALL -transport TCP
		
  1. Navigate to Configuration > System > Auditing > Syslog and go to the Policies tab.
  2. Click Add, name it Elastic_WAF_Policy, and select the server created in the previous step.
  3. Set the Expression to true.
  4. Navigate to Configuration > System > Auditing > Syslog and select Global Bindings.
  5. Select APPFW_GLOBAL and bind the Elastic_WAF_Policy with a priority of 100.

Alternatively, you can use the CLI:

add audit syslogPolicy Elastic_WAF_Policy true Elastic_Syslog_Server
bind audit syslogGlobal -policyName Elastic_WAF_Policy -priority 100 -globalBindType APPFW_GLOBAL
		

The following resources provide additional information about Citrix WAF logging:

To install and configure the Citrix Web App Firewall integration, follow these steps:

  1. In Kibana, navigate to Management > Integrations.
  2. Search for Citrix Web App Firewall and select it.
  3. Click Add Citrix Web App Firewall.
  4. Choose the input type that matches your Citrix configuration (TCP, UDP, or Log file).

To collect logs over a TCP connection, configure the following settings:

  • Listen Address (tcp_host): The bind address to listen for TCP connections. Set to 0.0.0.0 to bind to all available interfaces. Default: localhost.
  • Listen Port (tcp_port): The TCP port number to listen on. Default: 9001.
  • Preserve original event (preserve_original_event): If checked, a raw copy of the original event is stored in the event.original field. Default: False.
  • Tags (tags): Custom tags to append to the event. Default: ['citrix_waf', 'forwarded'].
  • Processors (processors): Add custom processors to reduce fields or enhance metadata before the data is sent to Elastic. See Processors for details.
  • SSL Configuration (ssl): Configure SSL options if you are using encrypted transport. Refer to the SSL documentation for details.
  • Custom TCP Options (tcp_options): Specify advanced settings such as max_message_size or line_delimiter.
  • Timezone (tz_offset): The IANA time zone or offset (for example, +0200) to use when interpreting syslog timestamps without a time zone. Default: UTC.

To collect logs over a UDP connection, configure the following settings:

  • Listen Address (udp_host): The bind address to listen for UDP connections. Set to 0.0.0.0 to bind to all available interfaces. Default: localhost.
  • Listen Port (udp_port): The UDP port number to listen on. Default: 9001.
  • Preserve original event (preserve_original_event): If checked, a raw copy of the original event is stored in the event.original field. Default: False.
  • Tags (tags): Custom tags to append to the event. Default: ['citrix_waf', 'forwarded'].
  • Processors (processors): Add custom processors to filter or enhance the log data. See Processors for details.
  • Custom UDP Options (udp_options): Specify advanced settings such as max_message_size or read_buffer.
  • Timezone (tz_offset): The IANA time zone or offset (for example, +0200) for logs without time zone information. Default: UTC.

To collect logs directly from files on the host where Elastic Agent is running, configure the following settings:

  • Paths (paths): A list of absolute paths to the log files. Default: ['/var/log/citrix-waf.log'].
  • Preserve original event (preserve_original_event): If checked, a raw copy of the original event is stored in the event.original field. Default: False.
  • Tags (tags): Custom tags to append to the event. Default: ['citrix_waf', 'forwarded'].
  • Processors (processors): Add custom processors for pre-processing logs on the agent. See Processors for details.
  • Timezone (tz_offset): The IANA time zone or offset (for example, +0200) for logs without time zone information. Default: UTC.

After completing the configuration, assign the integration to an agent policy and click Save and continue.

To verify the integration is working correctly, follow these steps:

  1. Verify the Elastic Agent status:
    • Navigate to Management > Fleet > Agents.
    • Ensure the agent is in a Healthy or Online state.
  2. Trigger data flow on the Citrix WAF:
    • Generate web traffic by accessing a web application protected by the Citrix WAF.
    • Simulate a policy violation (for example, curl http://<waf_app_ip>/etc/passwd) to trigger a block or log event.
    • Log in or out of the Citrix management interface to generate administrative audit logs.
  3. Check data in Kibana:
    • Navigate to Analytics > Discover.
    • Select the logs-* data view.
    • Enter the KQL filter data_stream.dataset : "citrix_waf.log" and confirm that logs appear with recent timestamps.
    • Verify that fields such as event.dataset, source.ip, event.action, and message are populated correctly.
  4. Check Dashboards:
    • Navigate to Analytics > Dashboards.
    • Search for Citrix Web App Firewall to verify the pre-built visualizations are populating with data.

For help with Elastic ingest tools, check Common problems.

Address common configuration issues using the following guidance:

  • CEF logging disabled: If logs appear in Kibana as a single unparsed string in the message field, verify that CEF logging is enabled in the Citrix WAF engine settings. Without the CEF format, the parser can't identify specific security fields.
  • Global binding missing: If no logs are arriving at the Elastic Agent, verify the audit policy is bound to the APPFW_GLOBAL bind point. Binding to SYSTEM_GLOBAL might result in WAF logs being mixed with general system logs or suppressed depending on priority settings.
  • Port conflicts: Ensure that the Listen Port configured in the integration settings (for example, 9001) isn't being used by another service on the Elastic Agent host. You can use commands like netstat -ano or ss -tulpn to verify if the agent is listening on the expected port.
  • Firewall or network ACL blocks: Verify that any network firewalls between the Citrix appliance and the Elastic Agent permit traffic on the configured UDP or TCP port.
  • Timestamp mismatches: If logs appear to be missing or have incorrect times, check for a significant time difference between the Citrix appliance and the Elastic Agent. Use the Timezone setting in the integration configuration to correct for offset differences.
  • Parsing failures: Check the error.message field in Kibana for messages like "Provided grok patterns did not match". This usually indicates that the Citrix log format isn't standard CEF. Ensure no custom syslog headers are prepended to the CEF payload on the Citrix side.
  • Truncated logs: If logs are incomplete or missing data, check the max_message_size setting in the TCP or UDP options. Large WAF events with many headers can exceed the default 10KiB limit.

For more information on architectures that can be used for scaling this integration, check the Ingest Architectures documentation.

To ensure optimal performance in high-volume security environments, you should consider the following configuration and deployment strategies:

  • Use TCP for transport to ensure reliable delivery and support for encrypted transport using SSL/TLS. While UDP has lower overhead, it doesn't guarantee delivery in high-volume scenarios.
  • Monitor your host's disk I/O performance if you're using the logfile input. You'll need to handle sustained write and read loads, and you should implement log rotation to prevent disk exhaustion.
  • Check that the max_message_size setting is sufficient for your largest Common Event Format (CEF) payloads. The default is 10KiB, and logs that exceed this size will be truncated.
  • Isolate Citrix Web App Firewall specific logs from general system logs by using the -globalBindType APPFW_GLOBAL command on your Citrix appliance. This reduces the processing overhead on the Elastic Agent.
  • Filter your logs at the source by configuring specific log levels. Focusing your collection on NOTICE or higher severity events helps you avoid processing low-value debugging information.
  • Scale your deployment by using multiple Elastic Agents behind a network load balancer. It's best to place these agents in close network proximity to your Citrix appliances to minimize latency.
  • Allocate sufficient CPU resources to your Elastic Agent hosts. High-velocity CEF data parsing and the use of complex processors can be CPU-intensive.

The following inputs are supported by this integration: These inputs can be used with this integration:

This integration includes the following data stream:

The log data stream provides events from Citrix Web App Firewall of the following types: security violation logs, policy match logs, and system audit logs. It supports logs in both standard syslog format and Common Event Format (CEF).

The following fields are exported by this data stream: 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
citrix.cef_format Whether the logging is in Citrix CEF format. boolean
citrix.cef_version The CEF format version used in the logs. keyword
citrix.default_class Whether the event class was the default. boolean
citrix.detail The CEF or Citrix Native format details for the event. keyword
citrix.device_event_class_id The ID of the event class. keyword
citrix.device_product The model of the appliance. keyword
citrix.device_vendor The name of the vendor for the device. keyword
citrix.device_version The version of the device. keyword
citrix.extended Additional data associated with the event. flattened
citrix.facility The logging facility. keyword
citrix.host The name of the host receiving the logs. keyword
citrix.name The name of the security check. keyword
citrix.ppe_id Packet Processing Engine ID. keyword
citrix.priority The logging priority. keyword
citrix.profile_name The name of the profile that raised the event. keyword
citrix.session_id The ID for the session. keyword
citrix.severity The severity of the event. keyword
citrix.signature_violation_category The category that the violation is grouped into. keyword
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
client.as.number Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet. long
client.as.organization.name Organization name. keyword
client.as.organization.name.text Multi-field of client.as.organization.name. match_only_text
client.domain The domain name of the client 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
client.geo.city_name City name. keyword
client.geo.continent_name Name of the continent. keyword
client.geo.country_iso_code Country ISO code. keyword
client.geo.country_name Country name. keyword
client.geo.location Longitude and latitude. geo_point
client.geo.region_iso_code Region ISO code. keyword
client.geo.region_name Region name. keyword
client.ip IP address of the client (IPv4 or IPv6). ip
client.port Port of the client. long
client.user.name Short name or login of the user. keyword
client.user.name.text Multi-field of client.user.name. match_only_text
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
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.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.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.end event.end contains the date when the event ended or when the activity was last observed. date
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.provider Source of the event. Event transports such as Syslog or the Windows Event Log typically mention the source of an event. It can be the name of the software that generated the event (e.g. Sysmon, httpd), or of a subsystem of the operating system (kernel, Microsoft-Windows-Security-Auditing). keyword
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.start event.start contains the date when the event started or when the activity was first observed. date
event.timezone This field should be populated when the event's timestamp does not include timezone information already (e.g. default Syslog timestamps). It's optional otherwise. Acceptable timezone formats are: a canonical ID (e.g. "Europe/Amsterdam"), abbreviated (e.g. "EST") or an HH:mm differential (e.g. "-05:00"). 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. 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.id A unique identifier for each HTTP request to correlate logs between clients and servers in transactions. The id may be contained in a non-standard HTTP header, such as X-Request-ID or X-Correlation-ID. 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
input.type Input type. keyword
labels Custom key/value pairs. Can be used to add meta information to events. Should not contain nested objects. All values are stored as keyword. Example: docker and k8s labels. object
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.level Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn't specify one, you may put your event transport's severity here (e.g. Syslog severity). Some examples are warn, err, i, informational. keyword
log.offset Offset of the entry in the log file. long
log.source.address Source address from which the log event was read / sent from. 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.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.iana_number IANA Protocol Number (https://www.iana.org/assignments/protocol-numbers/protocol-numbers.xhtml). Standardized list of protocols. This aligns well with NetFlow and sFlow related logs which use the IANA Protocol Number. keyword
network.inner Network.inner fields are added in addition to network.vlan fields to describe the innermost VLAN when q-in-q VLAN tagging is present. Allowed fields include vlan.id and vlan.name. Inner vlan fields are typically used when sending traffic with multiple 802.1q encapsulations to a network sensor (e.g. Zeek, Wireshark.) group
network.inner.vlan.id VLAN ID as reported by the observer. keyword
network.inner.vlan.name Optional VLAN name as reported by the observer. 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
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
observer.egress.interface.name Interface name as reported by the system. 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.name Custom name of the observer. This is a name that can be given to an observer. This can be helpful for example if multiple firewalls of the same model are used in an organization. If no custom name is needed, the field can be left empty. keyword
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
process.name Process name. Sometimes called program name or similar. keyword
process.name.text Multi-field of process.name. match_only_text
process.pid Process id. long
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
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
server.domain The domain name of the server 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
server.ip IP address of the server (IPv4 or IPv6). ip
server.port Port of the server. long
server.user.name Short name or login of the user. keyword
server.user.name.text Multi-field of server.user.name. match_only_text
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.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.domain Name of the directory the user is a member of. For example, an LDAP or Active Directory domain name. keyword
source.user.group.name Name of the group. 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
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.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
url.fragment Portion of the url after the #, such as "top". The # is not part of the fragment. 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
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.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
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 (https://publicsuffix.org). Trying to approximate this by simply taking the last two labels will not work well for TLDs such as "co.uk". keyword
url.scheme Scheme of the request, such as "https". Note: The : is not part of the scheme. keyword
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.example.com" 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
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 (https://publicsuffix.org). Trying to approximate this by simply taking the last label will not work well for effective TLDs such as "co.uk". keyword
url.username Username of the request. keyword
user.email User email address. keyword
user.name Short name or login of the user. keyword
user.name.text Multi-field of user.name. match_only_text

For more information about Citrix Web App Firewall logs and configuration, refer to the following vendor resources:

This integration includes one or more Kibana dashboards that visualizes the data collected by the integration. The screenshots below illustrate how the ingested data is displayed.