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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Anomalous Kernel Module Activity

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Anomalous Kernel Module Activity

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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

References:

references

Tags:

Elastic
Host
Linux
Threat Detection
ML

Version: 3 (version history)

Added (Elastic Stack release): 7.10.0

Last modified (Elastic Stack release): 7.12.0

Rule authors: Elastic

Rule license: Elastic License v2

Potential false positives

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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

Framework: MITRE ATT&CK^TM

Tactic:
- Name: Persistence
- ID: TA0003
- Reference URL: https://attack.mitre.org/tactics/TA0003/
Technique:
- Name: Boot or Logon Autostart Execution
- ID: T1547
- Reference URL: https://attack.mitre.org/techniques/T1547/

Rule version history

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Version 3 (7.12.0 release)

Formatting only

Version 2 (7.11.0 release)

Formatting only

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