Detection rules › Splunk

GitHub Enterprise Disable Audit Log Event Stream

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

The following analytic detects when a user disables audit log event streaming in GitHub Enterprise. The detection monitors GitHub Enterprise audit logs for configuration changes that disable the audit log streaming functionality, which is used to send audit events to security monitoring platforms. This behavior could indicate an attacker attempting to prevent their malicious activities from being logged and detected by disabling the audit trail. For a SOC, identifying the disabling of audit logging is critical as it may be a precursor to other attacks where adversaries want to operate undetected. The impact could be severe as organizations lose visibility into user actions, configuration changes, and security events within their GitHub Enterprise environment, potentially allowing attackers to perform malicious activities without detection. This creates a significant blind spot in security monitoring and incident response capabilities.

MITRE ATT&CK coverage

Rules detecting the same action

Other rules on this platform that filter on the same API call or operation.

Rule body splunk

name: GitHub Enterprise Disable Audit Log Event Stream
id: 7bc111cc-7f1b-4be7-99fa-50cf8d2e7564
version: 9
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 disables audit log event streaming in GitHub Enterprise. The detection monitors GitHub Enterprise audit logs for configuration changes that disable the audit log streaming functionality, which is used to send audit events to security monitoring platforms. This behavior could indicate an attacker attempting to prevent their malicious activities from being logged and detected by disabling the audit trail. For a SOC, identifying the disabling of audit logging is critical as it may be a precursor to other attacks where adversaries want to operate undetected. The impact could be severe as organizations lose visibility into user actions, configuration changes, and security events within their GitHub Enterprise environment, potentially allowing attackers to perform malicious activities without detection. This creates a significant blind spot in security monitoring and incident response capabilities.
data_source:
    - GitHub Enterprise Audit Logs
search: |-
    `github_enterprise` action=audit_log_streaming.destroy
      | fillnull
      | stats count min(_time) as firstTime max(_time) as lastTime
        BY actor, actor_id, actor_ip,
           actor_is_bot, actor_location.country_code, business,
           business_id, user_agent, action
      | eval user=actor
      | `security_content_ctime(firstTime)`
      | `security_content_ctime(lastTime)`
      | `github_enterprise_disable_audit_log_event_stream_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: Audit log event streaming is disabled by $user$
threat_objects:
    - field: user_agent
      type: http_user_agent
analytic_story:
    - GitHub Malicious Activity
    - NPM Supply Chain Compromise
asset_type: GitHub
mitre_attack_id:
    - T1685.002
    - 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/T1562.008/github_audit_log_stream_disabled/github.json
          source: http:github
          sourcetype: httpevent
      test_type: unit

Stages and Predicates

Stage 1: search

`github_enterprise` action=audit_log_streaming.destroy

Stage 2: fillnull

| fillnull

Stage 3: stats

| stats count min(_time) as firstTime max(_time) as lastTime
    BY actor, actor_id, actor_ip,
       actor_is_bot, actor_location.country_code, business,
       business_id, user_agent, 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_disable_audit_log_event_stream_filter`

Indicators

Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.

FieldKindValues
actioneq
  • audit_log_streaming.destroy
sourcetypeeq
  • httpevent