Files
sigma-rules/rules/ml/credential_access_ml_linux_anomalous_metadata_process.toml
T
Jonhnathan b4c84e8a40 [Security Content] Tags Reform (#2725)
* Update Tags

* Bump updated date separately to be easy to revert if needed

* Update resource_development_ml_linux_anomalous_compiler_activity.toml

* Apply changes from the discussion

* Update persistence_init_d_file_creation.toml

* Update defense_evasion_timestomp_sysmon.toml

* Update defense_evasion_application_removed_from_blocklist_in_google_workspace.toml

* Update missing Tactic tags

* Update unit tests to match new tags

* Add missing IG tags

* Delete okta_threat_detected_by_okta_threatinsight.toml

* Update command_and_control_google_drive_malicious_file_download.toml

* Update persistence_rc_script_creation.toml

* Mass bump

* Update persistence_shell_activity_by_web_server.toml

* .

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Co-authored-by: Mika Ayenson <Mika.ayenson@elastic.co>
Co-authored-by: Mika Ayenson <Mikaayenson@users.noreply.github.com>
2023-06-22 18:38:56 -03:00

50 lines
1.5 KiB
TOML

[metadata]
creation_date = "2020/09/22"
maturity = "production"
updated_date = "2023/06/22"
min_stack_comments = "New fields added: required_fields, related_integrations, setup"
min_stack_version = "8.3.0"
[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 v2"
machine_learning_job_id = ["v3_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 = ["Domain: Endpoint", "OS: Linux", "Use Case: Threat Detection", "Rule Type: ML", "Rule Type: Machine Learning", "Tactic: Credential Access"]
type = "machine_learning"
[[rule.threat]]
framework = "MITRE ATT&CK"
[[rule.threat.technique]]
id = "T1552"
name = "Unsecured Credentials"
reference = "https://attack.mitre.org/techniques/T1552/"
[[rule.threat.technique.subtechnique]]
id = "T1552.005"
name = "Cloud Instance Metadata API"
reference = "https://attack.mitre.org/techniques/T1552/005/"
[rule.threat.tactic]
id = "TA0006"
name = "Credential Access"
reference = "https://attack.mitre.org/tactics/TA0006/"