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Github Commit In Develop Trusted Relationship
Cloud
2021-09-01 true
Trusted Relationship
Initial Access
Splunk Enterprise
Splunk Enterprise Security
Splunk Cloud
Dev Sec Ops Analytics

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Description

This search is to detect a pushed or commit to develop branch. This is to avoid unwanted modification to develop without a review to the changes. Ideally in terms of devsecops the changes made in a branch and do a PR for review. of course in some cases admin of the project may did a changes directly to master branch

  • Type: Anomaly
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud, Dev Sec Ops Analytics
  • Datamodel:
  • Last Updated: 2021-09-01
  • Author: Teoderick Contreras, Splunk
  • ID: f3030cb6-0b02-11ec-8f22-acde48001122

ATT&CK

ID Technique Tactic
T1199 Trusted Relationship Initial Access
`github` branches{}.name = main OR branches{}.name = develop 
|  stats count min(_time) as firstTime max(_time) as lastTime  by commit.author.html_url commit.commit.author.email commit.author.login commit.commit.message repository.pushed_at commit.commit.committer.date 
| eval phase="code" 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `github_commit_in_develop_filter`

Macros

The SPL above uses the following Macros:

Note that github_commit_in_develop_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

How To Implement

To successfully implement this search, you need to be ingesting logs related to github logs having the fork, commit, push metadata that can be use to monitor the changes in a github project.

Known False Positives

admin can do changes directly to develop branch

Associated Analytic story

Kill Chain Phase

  • Exploitation

RBA

Risk Score Impact Confidence Message
9.0 30 30 suspicious commit by commit.commit.author.email to develop branch

Note that risk score is calculated base on the following formula: (Impact * Confidence)/100

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

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