Detection rules › Splunk

GitHub Enterprise Repository Archived

Status
production
Severity
low
Group by
"actor_location.country_code", action, actor, actor_id, actor_is_bot, aws::userAgent, business, business_id, org, org_id, repo, repo_id, visibility
Author
Patrick Bareiss, Splunk
Source
github.com/splunk/security_content

The following analytic detects when a repository is archived in GitHub Enterprise. The detection monitors GitHub Enterprise audit logs for repository archival events by tracking actor details, repository information, and associated metadata. For a SOC, identifying repository archival is important as it could indicate attempts to make critical code inaccessible or preparation for repository deletion. While archiving is a legitimate feature, unauthorized archival of active repositories could signal account compromise, insider threats, or attempts to disrupt development operations. The impact of unauthorized repository archival includes loss of active development access, disruption to workflows and CI/CD pipelines, and potential business delays if critical repositories are affected. Additionally, archived repositories may be targeted for subsequent deletion, potentially resulting in permanent loss of intellectual property if proper backups are not maintained.

Known false positives

  • No false positives have been identified at this time.

MITRE ATT&CK coverage

TacticTechniques
Initial Access
Impact

Telemetry coverage

Rules detecting the same action

These rules filter on the same operation.

Rule body

name: GitHub Enterprise Repository Archived
id: 8367cb99-bae1-4748-ae3b-0927bb381424
version: 8
creation_date: '2025-01-15'
modification_date: '2026-05-13'
author: Patrick Bareiss, Splunk
status: production
type: Anomaly
description: The following analytic detects when a repository is archived in GitHub Enterprise. The detection monitors GitHub Enterprise audit logs for repository archival events by tracking actor details, repository information, and associated metadata. For a SOC, identifying repository archival is important as it could indicate attempts to make critical code inaccessible or preparation for repository deletion. While archiving is a legitimate feature, unauthorized archival of active repositories could signal account compromise, insider threats, or attempts to disrupt development operations. The impact of unauthorized repository archival includes loss of active development access, disruption to workflows and CI/CD pipelines, and potential business delays if critical repositories are affected. Additionally, archived repositories may be targeted for subsequent deletion, potentially resulting in permanent loss of intellectual property if proper backups are not maintained.
data_source:
    - GitHub Enterprise Audit Logs
search: |-
    `github_enterprise` action=repo.archived
      | fillnull
      | stats count min(_time) as firstTime max(_time) as lastTime
        BY actor, actor_id, actor_is_bot,
           actor_location.country_code, business, business_id,
           org, org_id, repo,
           repo_id, user_agent, visibility,
           action
      | eval user=actor
      | `security_content_ctime(firstTime)`
      | `security_content_ctime(lastTime)`
      | `github_enterprise_repository_archived_filter`
how_to_implement: You must ingest GitHub Enterprise logs using Audit log streaming as described in this documentation https://docs.github.com/en/enterprise-cloud@latest/admin/monitoring-activity-in-your-enterprise/reviewing-audit-logs-for-your-enterprise/streaming-the-audit-log-for-your-enterprise#setting-up-streaming-to-splunk using a Splunk HTTP Event Collector.
known_false_positives: No false positives have been identified at this time.
references:
    - https://www.googlecloudcommunity.com/gc/Community-Blog/Monitoring-for-Suspicious-GitHub-Activity-with-Google-Security/ba-p/763610
    - https://docs.github.com/en/enterprise-cloud@latest/admin/monitoring-activity-in-your-enterprise/reviewing-audit-logs-for-your-enterprise/streaming-the-audit-log-for-your-enterprise#setting-up-streaming-to-splunk
intermediate_findings:
    entities:
        - field: user
          type: user
          score: 20
          message: $user$ archived a repository in GitHub Enterprise
threat_objects:
    - field: user_agent
      type: http_user_agent
analytic_story:
    - GitHub Malicious Activity
    - NPM Supply Chain Compromise
asset_type: GitHub
mitre_attack_id:
    - T1485
    - T1195
product:
    - Splunk Enterprise
    - Splunk Enterprise Security
    - Splunk Cloud
category: cloud
security_domain: network

Stages and Predicates

Stage 1: search

`github_enterprise` action=repo.archived

Stage 2: fillnull

| fillnull

Stage 3: stats

| stats count min(_time) as firstTime max(_time) as lastTime
    BY actor, actor_id, actor_is_bot,
       actor_location.country_code, business, business_id,
       org, org_id, repo,
       repo_id, user_agent, visibility,
       action

Stage 4: eval

| eval user=actor

Stage 5: search

| `security_content_ctime(firstTime)`

Stage 6: search

| `security_content_ctime(lastTime)`

Stage 7: search

| `github_enterprise_repository_archived_filter`

Indicators

These rows show field, operator, and value matches.