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Description

This search looks for Dependabot Alerts in Github logs.

  • Type: Anomaly

  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud

  • Last Updated: 2021-09-01
  • Author: Patrick Bareiss, Splunk
  • ID: 05032b04-4469-4034-9df7-05f607d75cba

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1195.001 Compromise Software Dependencies and Development Tools Initial Access
T1195 Supply Chain Compromise Initial Access
Kill Chain Phase
  • Delivery
NIST
  • DE.AE
CIS20
  • CIS 13
CVE 


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`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:

:information_source: 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 fields

List of fields required to use this analytic.

  • _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 $repository$

:information_source: The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

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