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sigma-rules/rules/ml/ml_linux_anomalous_metadata_process.toml
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seth-goodwin 2065af89b1 [Rule Tuning] Tag Categorization Updates (#380)
* Add new categorization tags

* Change updated_date to 2020/10/26

Co-authored-by: Ross Wolf <31489089+rw-access@users.noreply.github.com>, @bm11100
2020-10-26 13:50:45 -05:00

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TOML

[metadata]
creation_date = "2020/09/22"
ecs_version = ["1.6.0"]
maturity = "production"
updated_date = "2020/10/26"
[rule]
anomaly_threshold = 50
author = ["Elastic"]
description = """
Looks for anomalous access to the metadata service by an unusual process. The metadata service may be targeted in order
to harvest credentials or user data scripts containing secrets.
"""
false_positives = [
"""
A newly installed program or one that runs very rarely as part of a monthly or quarterly workflow could trigger this
detection rule.
""",
]
from = "now-45m"
interval = "15m"
license = "Elastic License"
machine_learning_job_id = "linux_rare_metadata_process"
name = "Unusual Linux Process Calling the Metadata Service"
risk_score = 21
rule_id = "9d302377-d226-4e12-b54c-1906b5aec4f6"
severity = "low"
tags = ["Elastic", "Host", "Linux", "Threat Detection", "ML"]
type = "machine_learning"