mirror of
https://github.com/splunk/security_content
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pyth0n1c
68 lines
3.1 KiB
YAML
68 lines
3.1 KiB
YAML
name: GitHub Pull Request from Unknown User
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id: 9d7b9100-8878-4404-914e-ca5e551a641e
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version: 5
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date: '2025-02-10'
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author: Patrick Bareiss, Splunk
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status: production
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type: Anomaly
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description: The following analytic detects pull requests from unknown users on GitHub.
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It uses a Splunk query to identify pull requests where the user ID is not specified
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and cross-references these with a known users lookup table. This activity is significant
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because pull requests from unknown users can introduce malicious code or unauthorized
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changes to repositories. If confirmed malicious, this could lead to unauthorized
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code changes, data breaches, or other security incidents. Immediate steps include
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reviewing the author's name, repository, head reference, and commit message, and
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investigating any related artifacts and processes.
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data_source:
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- GitHub
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search: '`github` check_suite.pull_requests{}.id=* | stats count by check_suite.head_commit.author.name
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repository.full_name check_suite.pull_requests{}.head.ref check_suite.head_commit.message
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| rename check_suite.head_commit.author.name as user repository.full_name as repository
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check_suite.pull_requests{}.head.ref as ref_head check_suite.head_commit.message
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as commit_message | search NOT `github_known_users` | eval phase="code" | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)` | `github_pull_request_from_unknown_user_filter`'
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how_to_implement: You must index GitHub logs. You can follow the url in reference
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to onboard GitHub logs.
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known_false_positives: unknown
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references:
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- https://www.splunk.com/en_us/blog/tips-and-tricks/getting-github-data-with-webhooks.html
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drilldown_searches:
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- name: View the detection results for - "$repository$"
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search: '%original_detection_search% | search repository = "$repository$"'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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- name: View risk events for the last 7 days for - "$repository$"
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search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$repository$")
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starthoursago=168 | stats count min(_time) as firstTime max(_time) as lastTime
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values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories)
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as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic)
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as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)`'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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rba:
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message: Vulnerabilities found in packages used by GitHub repository $repository$
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risk_objects:
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- field: repository
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type: other
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score: 27
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threat_objects: []
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tags:
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analytic_story:
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- Dev Sec Ops
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asset_type: GitHub
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mitre_attack_id:
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- T1195.001
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product:
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- Splunk Enterprise
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- Splunk Enterprise Security
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- Splunk Cloud
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security_domain: network
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tests:
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- name: True Positive Test
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attack_data:
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- data:
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https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1195.001/github_pull_request/github_pull_request.json
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sourcetype: aws:firehose:json
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source: github
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