Github Commit In Develop

Original Source: [splunk source]
Name:Github Commit In Develop
id:f3030cb6-0b02-11ec-8f22-acde48001122
version:3
date:2024-09-30
author:Teoderick Contreras, Splunk
status:production
type:Anomaly
Description:The following analytic detects commits pushed directly to the 'develop' or 'main' branches in a GitHub repository. It leverages GitHub logs, focusing on commit metadata such as author details, commit messages, and timestamps. This activity is significant as direct commits to these branches can bypass the review process, potentially introducing unvetted changes. If confirmed malicious, this could lead to unauthorized code modifications, introducing vulnerabilities or backdoors into the codebase, and compromising the integrity of the development lifecycle.
Data_source:
  • -GitHub
search:`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`


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
References:
  -https://www.redhat.com/en/topics/devops/what-is-devsecops
drilldown_searches:
name:'View the detection results for - "$commit.commit.author.email$"'
search:'%original_detection_search% | search commit.commit.author.email = "$commit.commit.author.email$"'
earliest_offset:'$info_min_time$'
latest_offset:'$info_max_time$'
name:'View risk events for the last 7 days for - "$commit.commit.author.email$"'
search:'| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$commit.commit.author.email$") starthoursago=168 | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset:'$info_min_time$'
latest_offset:'$info_max_time$'
tags:
  analytic_story:
    - 'Dev Sec Ops'
  asset_type:GitHub
  confidence:30
  impact:30
  message:Suspicious commit by $commit.commit.author.email$ to develop branch
  mitre_attack_id:
    - 'T1199'
  observable:
    name:'commit.commit.author.email'
    type:'User'
    - role:
      - 'Victim'
  product:
    - 'Splunk Enterprise'
    - 'Splunk Enterprise Security'
    - 'Splunk Cloud'
  required_fields:
    - '_time'
  risk_score:9
  security_domain:endpoint

tests:
name:'True Positive Test'
 attack_data:
  data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1199/github_push_master/github_push_develop.json
  source: github
  sourcetype: aws:firehose:json
manual_test:None

Related Analytic Stories


Dev Sec Ops