Terrance DeJesus
e8c39d19a7
* initial commit with eggshell mitre mapping added * adding updated rules * [Rule Tuning] MITRE for GCP rules I've added Mitre references for the 4 GCP rules missing. Changed 3 of the rules from "Impact" to "Defense Evasion" based on the technique used and it's matched tactic. * [Rule Tuning] Endgame Rule name updates for Mitre Updated Endgame rule names for those with Mitre tactics to match the tactics. * Update rules/integrations/aws/persistence_redshift_instance_creation.toml Co-authored-by: Jonhnathan <jonhnathancesar@gmail.com> * Update rules/integrations/aws/exfiltration_rds_snapshot_restored.toml Co-authored-by: Jonhnathan <jonhnathancesar@gmail.com> * adding 10 updated rules for google_workspace, ml and o365 * adding 22 rule updates for mitre att&ck mappings * adding 24 rule updates related mainly to ML rules * adding 3 rules related to detection via ML * adding adjustments * adding adjustments with solutions to recent pytest errors * removed tabs from tags * adjusted mappings and added techniques * adjusted endgame rule mappings per review * adjusted names to match different tactics * added execution and defense evasion tag * adjustments to address errors from merging with main * added newlines to rules missing them at the end of the file Co-authored-by: imays11 <59296946+imays11@users.noreply.github.com> Co-authored-by: Jonhnathan <jonhnathancesar@gmail.com>
50 lines
1.4 KiB
TOML
50 lines
1.4 KiB
TOML
[metadata]
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creation_date = "2020/09/22"
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maturity = "production"
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updated_date = "2022/07/17"
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min_stack_comments = "Supports latest version of ML job introduced in 8.3"
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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 = ["Elastic", "Host", "Linux", "Threat Detection", "ML", "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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