INSPECTING ARCHIVED INTELLIGENCE (OUTDATED VERSION).

LiteLLM Master Key Leaked Allowing Attackers to Hijack GitHub Releases

| 2026-10-24 11:03 HIGH LOW DATA BREACH CRITICAL INFRASTRUCTURE & OT
Executive Summary
AI-generated
An unknown attacker gained access to the Agent Platform master key, which was accidentally published to a public GitHub repository in late May 2026. The attacker used this unrevoked key on October 10, 2026, to gain owner-level access to all repositories across an organization and perform additional credential exfiltration. The attacker extracted a GitHub CLI OAuth token associated with the organization's account, which allowed them to possess owner-level access to all repositories. This attack worked by exploiting the relaxed release approval process that occurred earlier in May 2026, allowing any two engineers to trigger and approve releases without authorization. As of October 21, 2026, the affected organization had reported a supply chain attack, with PyPI quarantining LiteLLM version 1.107.0 and Docker Hub removing or repointing tags related to this release.
Technical Mitigations AI-generated
• Patch the LiteLLM Agent Platform to revoke the exposed master key and prevent future unauthorized access. • Monitor GitHub repositories for suspicious activity, such as commits from throwaway branches or unauthorized webhook endpoints. • Implement strict branch protection and release pipeline controls to prevent unauthorized modifications.
Technical Observables Login Required
Indicators of Compromise (IoCs) Protected

Raw threat telemetry, malicious IP addresses, file hashes, and direct VirusTotal correlation are restricted to authenticated users.

li•••••.dev
69.48.•••.•••
Intelligence Metadata
Actors / Malware / CVEs / Campaigns
Target & Sectors
NORTH_AMERICA NORTH_AMERICA technologytechnology
Incident Timeline
‎October 21, 2025
Attackers exploited a vulnerability in the LiteLLM model to obtain its master key, which they then used to steal GitHub tokens and hijack release pipelines.
industry Technology
‎late May 2026
LiteLLM on Friday revealed that an Agent Platform master key accidentally published to a public GitHub repository in late May 2026 ultimately allowed the threat actor to push a malicious version of the popular Python package.
tactic T1059.006 - Python
‎May 2026
The leaked LiteLLM master key in May 2026 was used to hijack a release pipeline, allowing attackers to steal GitHub tokens.
organisation Leaked
organisation API
organisation the Workflows Emerge
‎May 27, 2026
A configuration file was committed to the public LiteLLM-Labs/lite-harness repository on May 27, 2026, inadvertently containing the master key to a deployment of the LiteLLM Agent Platform.
industry Technology
‎October 10, 2026
An attacker used a leaked LiteLLM master key to gain unauthorized access, steal GitHub tokens and hijack the release pipeline.
industry Technology
observable 69.48.229.143
organisation CLI
organisation UTC
infrastructure 1.107.0
organisation GitHub
organisation CLI Oauth
organisation The Hacker News
organisation Linear
organisation SSH
organisation GitLab
organisation npm
organisation RubyGems
organisation Cargo
‎October 12
Attackers exploited the extended collection of secrets on GitHub to steal tokens and hijack release pipelines.
organisation AWS Bedrock
organisation GitGuardian
‎October 13, 2026
Attackers exploited a vulnerability in LiteLLM deployments to activate malicious code, potentially exposing GitHub tokens and hijacking release pipelines.
industry Technology
organisation Microsoft Security Research
‎October 21, 2026
Attackers exploited the leaked LiteLLM master key to hijack a GitHub token, which was then used to target and hijack a release pipeline.
industry Technology
infrastructure 1.107.0
organisation Upwind
organisation PyPI
‎2026/10/24
Attackers exploited the leaked LiteLLM master key to gain unauthorized access, steal GitHub tokens, and subsequently hijack a release pipeline on October 24, 2026.
organisation Hijack Release Pipeline
Tactical Metrics
Metrics
infrastructure
‎1.107.0
Software Version
Intelligence Sources