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4.3 KiB
4.3 KiB
title, excerpt, categories, last_modified_at, toc, toc_label, tags
| title | excerpt | categories | last_modified_at | toc | toc_label | tags | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GitHub Dependabot Alert | Compromise Software Dependencies and Development Tools , Supply Chain Compromise |
|
2021-09-01 | true |
|
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Description
This search looks for Dependabot Alerts in Github logs.
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Type: Anomaly
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Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
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Last Updated: 2021-09-01
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Author: Patrick Bareiss, Splunk
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ID: 05032b04-4469-4034-9df7-05f607d75cba
Annotations
ATT&CK
Kill Chain Phase
- Actions on Objectives
NIST
- PR.DS
- PR.AC
- DE.CM
CIS20
- CIS 13
CVE
Search
`github` alert.id=* action=create
| rename repository.full_name as repository, repository.html_url as repository_url sender.login as user
| stats min(_time) as firstTime max(_time) as lastTime by action alert.affected_package_name alert.affected_range alert.created_at alert.external_identifier alert.external_reference alert.fixed_in alert.severity repository repository_url user
| eval phase="code"
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `github_dependabot_alert_filter`
Macros
The SPL above uses the following Macros:
Note that github_dependabot_alert_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Required field
- _time
- alert.id
- repository.full_name
- repository.html_url
- action
- alert.affected_package_name
- alert.affected_range
- alert.created_at
- alert.external_identifier
- alert.external_reference
- alert.fixed_in
- alert.severity
How To Implement
You must index GitHub logs. You can follow the url in reference to onboard GitHub logs.
Known False Positives
unknown
Associated Analytic story
RBA
| Risk Score | Impact | Confidence | Message |
|---|---|---|---|
| 27.0 | 30 | 90 | Vulnerabilities found in packages used by GitHub repository repository |
Reference
Test Dataset
Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range
source | version: 1