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>
48 lines
1.6 KiB
TOML
48 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 = 50
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author = ["Elastic"]
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description = """
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Looks for compiler activity by a user context which does not normally run compilers. This can be the result of ad-hoc
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software changes or unauthorized software deployment. This can also be due to local privilege elevation via locally run
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exploits or malware activity.
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"""
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false_positives = [
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"""
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Uncommon compiler activity can be due to an engineer running a local build on a production or staging instance in
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the course of troubleshooting or fixing a software issue.
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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_rare_user_compiler"]
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name = "Anomalous Linux Compiler Activity"
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risk_score = 21
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rule_id = "cd66a419-9b3f-4f57-8ff8-ac4cd2d5f530"
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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: Resource Development"]
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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 = "T1588"
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name = "Obtain Capabilities"
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reference = "https://attack.mitre.org/techniques/T1588/"
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[[rule.threat.technique.subtechnique]]
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id = "T1588.001"
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name = "Malware"
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reference = "https://attack.mitre.org/techniques/T1588/001/"
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[rule.threat.tactic]
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id = "TA0042"
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name = "Resource Development"
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reference = "https://attack.mitre.org/tactics/TA0042/" |