splunk_escuAnomaly

GitHub Enterprise Remove Organization

The following analytic detects when a user removes an organization from GitHub Enterprise. The detection monitors GitHub Enterprise audit logs for organization deletion events, which could indicate unauthorized removal of critical business resources. For a SOC, identifying organization removals is crucial as it may signal account compromise, insider threats, or malicious attempts to disrupt business operations by deleting entire organizational structures. The impact could be severe, potentially resulting in loss of source code, repositories, team structures, access controls, and other critical organizational assets. This disruption could halt development workflows, cause data loss, and require significant effort to restore from backups if available. Additionally, unauthorized organization removal could be part of a larger attack campaign aimed at destroying or compromising enterprise assets.

Detection Query

`github_enterprise` action=business.remove_organization
  | 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, user_agent,
       action
  | eval user=actor
  | `security_content_ctime(firstTime)`
  | `security_content_ctime(lastTime)`
  | `github_enterprise_remove_organization_filter`

Author

Patrick Bareiss, Splunk

Data Sources

GitHub Enterprise Audit Logs

References

Raw Content

name: GitHub Enterprise Remove Organization
id: 94cb89aa-aec1-4585-91b1-affcdacf357e
version: 7
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 user removes an organization from GitHub Enterprise. The detection monitors GitHub Enterprise audit logs for organization deletion events, which could indicate unauthorized removal of critical business resources. For a SOC, identifying organization removals is crucial as it may signal account compromise, insider threats, or malicious attempts to disrupt business operations by deleting entire organizational structures. The impact could be severe, potentially resulting in loss of source code, repositories, team structures, access controls, and other critical organizational assets. This disruption could halt development workflows, cause data loss, and require significant effort to restore from backups if available. Additionally, unauthorized organization removal could be part of a larger attack campaign aimed at destroying or compromising enterprise assets.
data_source:
    - GitHub Enterprise Audit Logs
search: |-
    `github_enterprise` action=business.remove_organization
      | 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, user_agent,
           action
      | eval user=actor
      | `security_content_ctime(firstTime)`
      | `security_content_ctime(lastTime)`
      | `github_enterprise_remove_organization_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
drilldown_searches:
    - name: View the detection results for - "$user$"
      search: '%original_detection_search% | search  user = "$user$"'
      earliest_offset: $info_min_time$
      latest_offset: $info_max_time$
    - name: View risk events for the last 7 days for - "$user$"
      search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$") | 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: 7d
      latest_offset: "0"
intermediate_findings:
    entities:
        - field: user
          type: user
          score: 20
          message: $user$ removed an organization from GitHub Enterprise
threat_objects:
    - field: user_agent
      type: http_user_agent
analytic_story:
    - GitHub Malicious Activity
asset_type: GitHub
mitre_attack_id:
    - T1485
    - T1195
product:
    - Splunk Enterprise
    - Splunk Enterprise Security
    - Splunk Cloud
category: cloud
security_domain: network
tests:
    - name: True Positive Test
      attack_data:
        - data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1485/github_remove_organization/github.json
          source: http:github
          sourcetype: httpevent
      test_type: unit