Craig Chamberlain
0affb48b07
* Create ml_linux_anomalous_metadata_user.toml rule create * Update rules/ml/ml_linux_anomalous_metadata_user.toml Co-authored-by: Brent Murphy <56412096+bm11100@users.noreply.github.com> * Update ml_linux_anomalous_metadata_user.toml * Update ml_linux_anomalous_metadata_user.toml * Update rules/ml/ml_linux_anomalous_metadata_user.toml Co-authored-by: Brent Murphy <56412096+bm11100@users.noreply.github.com> Co-authored-by: Brent Murphy <56412096+bm11100@users.noreply.github.com>
30 lines
973 B
TOML
30 lines
973 B
TOML
[metadata]
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creation_date = "2020/09/22"
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ecs_version = ["1.6.0"]
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maturity = "production"
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updated_date = "2020/09/22"
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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 anomalous access to the cloud platform metadata service by an unusual user. The metadata service may be targeted in order to
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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 under a new or rarely used user context, could trigger this detection
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rule. Manual interrogation of the metadata service during debugging or troubleshooting could trigger this 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"
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machine_learning_job_id = "linux_rare_metadata_user"
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name = "Unusual Linux User Calling the Metadata Service"
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risk_score = 21
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rule_id = "1faec04b-d902-4f89-8aff-92cd9043c16f"
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severity = "low"
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tags = ["Elastic", "Linux", "ML"]
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type = "machine_learning"
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