38b8311482
* [Security Content] Expand Abbreviated Tags * . * Update privilege_escalation_gcp_kubernetes_rolebindings_created_or_patched.toml * Apply suggestions from code review Co-authored-by: Isai <59296946+imays11@users.noreply.github.com> * Revert changes to deprecated rules * Bump updated_date --------- Co-authored-by: Isai <59296946+imays11@users.noreply.github.com>
52 lines
1.7 KiB
TOML
52 lines
1.7 KiB
TOML
[metadata]
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creation_date = "2020/03/25"
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maturity = "production"
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updated_date = "2023/03/06"
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min_stack_comments = "New fields added: required_fields, related_integrations, setup"
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min_stack_version = "8.3.0"
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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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A machine learning job detected an unusual Windows service, This can indicate execution of unauthorized services,
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malware, or persistence mechanisms. In corporate Windows environments, hosts do not generally run many rare or unique
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services. This job helps detect malware and persistence mechanisms that have been installed and run as a service.
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"""
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false_positives = [
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"""
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A newly installed program or one that runs rarely as part of a monthly or quarterly workflow could trigger this
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alert.
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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 v2"
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machine_learning_job_id = ["v3_windows_anomalous_service"]
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name = "Unusual Windows Service"
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references = ["https://www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html"]
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risk_score = 21
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rule_id = "1781d055-5c66-4adf-9c71-fc0fa58338c7"
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severity = "low"
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tags = ["Elastic", "Host", "Windows", "Threat Detection", "ML", "Machine Learning", "Persistence"]
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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 = "T1543"
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name = "Create or Modify System Process"
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reference = "https://attack.mitre.org/techniques/T1543/"
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[[rule.threat.technique.subtechnique]]
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id = "T1543.003"
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name = "Windows Service"
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reference = "https://attack.mitre.org/techniques/T1543/003/"
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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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