New

The executive guide to generative AI

Read more

Anomalous Kernel Module Activity

edit

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: 1

Added (Elastic Stack release): 7.10.0

Rule authors: Elastic

Rule license: Elastic License

Potential false positives

edit

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&CKTM

Framework: MITRE ATT&CKTM

Was this helpful?
Feedback