Craig Chamberlain
14a62ae93f
* Create ml_linux_system_process_discovery.toml * Update ml_linux_system_process_discovery.toml * Update ml_linux_system_process_discovery.toml added fp field * Update ml_linux_system_process_discovery.toml * Update ml_linux_system_process_discovery.toml * Update rules/ml/ml_linux_system_process_discovery.toml Co-authored-by: Brent Murphy <56412096+bm11100@users.noreply.github.com> * linting Co-authored-by: Brent Murphy <56412096+bm11100@users.noreply.github.com> Co-authored-by: Brent Murphy <bmurphy@endgame.com>
45 lines
1.4 KiB
TOML
45 lines
1.4 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 = 50
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author = ["Elastic"]
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description = """
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Looks for commands related to system process discovery from an unusual user context. This can be due to uncommon
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troubleshooting activity or due to a compromised account. A compromised account may be used by a threat actor to engage
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in system process discovery in order to increase their understanding of software applications running on a target host
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or network. This may be a precursor to selection of a persistence mechanism or a method of privilege elevation.
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"""
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false_positives = [
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"""
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Uncommon user command activity can be due to an engineer logging onto a server instance in order to perform manual
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troubleshooting or reconfiguration.
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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_system_process_discovery"
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name = "Unusual Linux Process Discovery Activity"
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risk_score = 21
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rule_id = "5c983105-4681-46c3-9890-0c66d05e776b"
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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 = "T1057"
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name = "Process Discovery"
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reference = "https://attack.mitre.org/techniques/T1057/"
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[rule.threat.tactic]
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id = "TA0007"
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name = "Discovery"
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reference = "https://attack.mitre.org/tactics/TA0007/"
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