Craig Chamberlain
0a0c5986c5
* Create ml_linux_rare_kernel_module_arguments.toml * rare module rule * Update ml_linux_anomalous_kernel_module_arguments.toml * Update ml_linux_anomalous_kernel_module_arguments.toml * Update ml_linux_anomalous_kernel_module_arguments.toml * Update rules/ml/ml_linux_anomalous_kernel_module_arguments.toml Co-authored-by: Brent Murphy <56412096+bm11100@users.noreply.github.com> Co-authored-by: Brent Murphy <56412096+bm11100@users.noreply.github.com>
43 lines
1.2 KiB
TOML
43 lines
1.2 KiB
TOML
[metadata]
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creation_date = "2020/09/03"
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ecs_version = ["1.6.0"]
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maturity = "production"
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updated_date = "2020/09/03"
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[rule]
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anomaly_threshold = 25
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author = ["Elastic"]
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description = """
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Looks for unusual kernel module activity. Kernel modules are sometimes used by malware and persistence mechanisms for
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stealth.
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"""
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false_positives = [
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"""
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A Linux host running unusual device drivers or other kinds of kernel modules could trigger this detection.
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Troubleshooting or debugging activity using unusual arguments could also trigger this detection.
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""",
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]
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from = "now-45m"
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interval = "15m"
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license = "Elastic License"
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machine_learning_job_id = "linux_rare_kernel_module_arguments"
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name = "Anomalous Kernel Module Activity"
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references = ["references"]
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risk_score = 21
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rule_id = "37b0816d-af40-40b4-885f-bb162b3c88a9"
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severity = "low"
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tags = ["Elastic", "Linux", "ML"]
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type = "machine_learning"
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[[rule.threat]]
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framework = "MITRE ATT&CK"
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[[rule.threat.technique]]
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id = "T1215"
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name = "Kernel Modules and Extensions"
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reference = "https://attack.mitre.org/techniques/T1215/"
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[rule.threat.tactic]
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id = "TA0003"
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name = "Persistence"
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reference = "https://attack.mitre.org/tactics/TA0003/"
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