9482bda414
* Adding related integrations to ML rules * added adjustments to determine related integrations for ML rules * fixed lint errors * Empty commit * Empty commit * Empty commit --------- Co-authored-by: Apoorva Joshi <apoorvajoshi@Apoorvas-MBP.lan> Co-authored-by: Terrance DeJesus <99630311+terrancedejesus@users.noreply.github.com> Co-authored-by: terrancedejesus <terrance.dejesus@elastic.co> Co-authored-by: Apoorva Joshi <apoorvajoshi@Apoorvas-MBP.fritz.box>
51 lines
1.5 KiB
TOML
51 lines
1.5 KiB
TOML
[metadata]
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creation_date = "2020/09/22"
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integration = ["auditd_manager", "endpoint"]
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maturity = "production"
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updated_date = "2023/07/27"
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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 anomalous access to the metadata service by an unusual process. The metadata service may be targeted in order
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to harvest credentials or user data scripts containing secrets.
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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 very rarely as part of a monthly or quarterly workflow could trigger this
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detection rule.
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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_metadata_process"]
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name = "Unusual Linux Process Calling the Metadata Service"
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risk_score = 21
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rule_id = "9d302377-d226-4e12-b54c-1906b5aec4f6"
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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: Credential Access"]
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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 = "T1552"
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name = "Unsecured Credentials"
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reference = "https://attack.mitre.org/techniques/T1552/"
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[[rule.threat.technique.subtechnique]]
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id = "T1552.005"
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name = "Cloud Instance Metadata API"
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reference = "https://attack.mitre.org/techniques/T1552/005/"
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[rule.threat.tactic]
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id = "TA0006"
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name = "Credential Access"
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reference = "https://attack.mitre.org/tactics/TA0006/"
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