Craig Chamberlain
1e43896cf1
* Create ml_windows_anomalous_metadata_process.toml rule create * Update rules/ml/ml_windows_anomalous_metadata_process.toml Co-authored-by: Brent Murphy <56412096+bm11100@users.noreply.github.com> * Update ml_windows_anomalous_metadata_process.toml * Update ml_windows_anomalous_metadata_process.toml Co-authored-by: Brent Murphy <56412096+bm11100@users.noreply.github.com>
31 lines
881 B
TOML
31 lines
881 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 = 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"
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machine_learning_job_id = "windows_rare_metadata_process"
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name = "Unusual Windows Process Calling the Metadata Service"
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risk_score = 21
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rule_id = "abae61a8-c560-4dbd-acca-1e1438bff36b"
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severity = "low"
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tags = ["Elastic", "ML", "Windows"]
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type = "machine_learning"
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