Jonhnathan
b4c84e8a40
* Update Tags * Bump updated date separately to be easy to revert if needed * Update resource_development_ml_linux_anomalous_compiler_activity.toml * Apply changes from the discussion * Update persistence_init_d_file_creation.toml * Update defense_evasion_timestomp_sysmon.toml * Update defense_evasion_application_removed_from_blocklist_in_google_workspace.toml * Update missing Tactic tags * Update unit tests to match new tags * Add missing IG tags * Delete okta_threat_detected_by_okta_threatinsight.toml * Update command_and_control_google_drive_malicious_file_download.toml * Update persistence_rc_script_creation.toml * Mass bump * Update persistence_shell_activity_by_web_server.toml * . --------- Co-authored-by: Mika Ayenson <Mika.ayenson@elastic.co> Co-authored-by: Mika Ayenson <Mikaayenson@users.noreply.github.com>
46 lines
1.6 KiB
TOML
46 lines
1.6 KiB
TOML
[metadata]
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creation_date = "2020/09/03"
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maturity = "production"
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updated_date = "2023/06/22"
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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 = 75
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author = ["Elastic"]
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description = """
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Looks for commands related to system user or owner 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 to engage in system owner or
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user discovery in order to identify currently active or primary users of a system. This may be a precursor to additional
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discovery, credential dumping or privilege elevation activity.
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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 v2"
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machine_learning_job_id = ["v3_linux_system_user_discovery"]
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name = "Unusual Linux User Discovery Activity"
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risk_score = 21
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rule_id = "59756272-1998-4b8c-be14-e287035c4d10"
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severity = "low"
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tags = ["Domain: Endpoint", "OS: Linux", "Use Case: Threat Detection", "Rule Type: ML", "Rule Type: Machine Learning", "Tactic: Discovery"]
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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 = "T1033"
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name = "System Owner/User Discovery"
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reference = "https://attack.mitre.org/techniques/T1033/"
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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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