Anomalous Kernel Module Activity
editAnomalous Kernel Module Activity
editLooks 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
editA 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
-
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
edit- Version 3 (7.12.0 release)
-
- Formatting only
- Version 2 (7.11.0 release)
-
- Formatting only