Anomalous Kernel Module Activityedit

Looks for unusual kernel module activity. Kernel modules are sometimes used by malware and persistence mechanisms for stealth.

Rule type: machine_learning

Machine learning job: linux_rare_kernel_module_arguments

Machine learning anomaly threshold: 25

Severity: low

Risk score: 21

Runs every: 15 minutes

Searches indices from: now-45m (Date Math format, see also Additional look-back time)

Maximum alerts per execution: 100


  • Elastic
  • Host
  • Linux
  • Threat Detection
  • ML

Version: 4 (version history)

Added (Elastic Stack release): 7.10.0

Last modified (Elastic Stack release): 7.15.0

Rule authors: Elastic

Rule license: Elastic License v2

Potential false positivesedit

A Linux host running unusual device drivers or other kinds of kernel modules could trigger this detection. Troubleshooting or debugging activity using unusual arguments could also trigger this detection. ==== Threat mapping


Rule version historyedit

Version 4 (7.15.0 release)
  • Formatting only
Version 3 (7.12.0 release)
  • Formatting only
Version 2 (7.11.0 release)
  • Formatting only