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
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 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
Framework: MITRE ATT&CKTM
-
Tactic:
- Name: Persistence
- ID: TA0003
- Reference URL: https://attack.mitre.org/tactics/TA0003/
-
Technique:
- Name: Kernel Modules and Extensions
- ID: T1215
- Reference URL: https://attack.mitre.org/techniques/T1215/ ==== Threat mapping
Framework: MITRE ATT&CKTM
-
Tactic:
- Name: Persistence
- ID: TA0003
- Reference URL: https://attack.mitre.org/tactics/TA0003/
-
Technique:
- Name: Kernel Modules and Extensions
- ID: T1215
- Reference URL: https://attack.mitre.org/techniques/T1215/