IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

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Appendix A: Apache anomaly detection configurations

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Appendix A: Apache anomaly detection configurations

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These anomaly detection job wizards appear in Kibana if you use the Apache integration in Fleet or you use Filebeat to ship access logs from your Apache HTTP servers to Elasticsearch. The jobs assume that you use fields and data types from the Elastic Common Schema (ECS).

Apache access logs

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These anomaly detection jobs find unusual activity in HTTP access logs.

For more details, see the datafeed and job definitions in GitHub. Note that these jobs are available in Kibana only if data exists that matches the query specified in the manifest file.

Name	Description	Job	Datafeed
low_request_rate_apache	Detects low request rates.
source_ip_request_rate_apache	Detects unusual source IPs - high request rates.
source_ip_url_count_apache	Detects unusual source IPs - high distinct count of URLs.
status_code_rate_apache	Detects unusual status code rates.
visitor_rate_apache	Detects unusual visitor rates.

Apache access logs (Filebeat)

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These legacy anomaly detection jobs find unusual activity in HTTP access logs. For the latest versions, install the Apache integration in Fleet; see Apache access logs.

For more details, see the datafeed and job definitions in GitHub.

These configurations are only available if data exists that matches the recognizer query specified in the manifest file.

Name	Description	Job	Datafeed
low_request_rate_ecs	Detects low request rates (ECS).
source_ip_request_rate_ecs	Detects unusual source IPs - high request rates (ECS).
source_ip_url_count_ecs	Detect unusual source IPs - high distinct count of URLs (ECS).
status_code_rate_ecs	Detects unusual status code rates (ECS).
visitor_rate_ecs	Detects unusual visitor rates (ECS).

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