Return to Threats

LiteLLM Compromised in Supply Chain Attack Delivering Credential Stealer and Backdoor

thehackernews.com 2026-10-21 AI supply chain Critical
Run AI Security Assessment Talk to AI CISO

Executive Summary

A compromised LiteLLM release distributed a credential stealer and backdoor through Python package and Docker image channels. Teams operating AI agents or LLM applications with LiteLLM should assess exposure and supply-chain controls.

What Happened

The popular LiteLLM Python package has been compromised as part of a software supply chain attack that delivered a credential stealer and a backdoor, according to reports from SafeDep, Socket, StepSecurity, and Upwind. The compromise affects LiteLLM 1.107.0, distributed through PyPI wheels and Docker images. The Python package has since been quarantined on Python Package Index (PyPI), and the

Affected Products

  • LiteLLM 1.107.0
  • PyPI wheels
  • Docker images

Vulnerability / Attack Technique

Software supply chain compromise

Technical Mechanism

The reported attack compromised the LiteLLM Python package and distributed malicious code through LiteLLM 1.107.0 PyPI wheels and Docker images. The malicious release delivered a credential stealer and backdoor; the summary does not provide further technical details about execution or persistence.

AI Security Category

LLM03:2025 Supply Chain

Part of the AI Supply Chain and AI SBOM topic.

Relevant Frameworks

LLM03:2025 Supply ChainMITRE ATLAS: Initial AccessMITRE ATLAS: Credential AccessMITRE ATLAS: Persistence

RealGround Analysis

A compromised AI infrastructure dependency can expose credentials and create unauthorized access paths across agent or LLM application environments. Teams need an inventory of AI-related packages and images, version-level monitoring, and rapid isolation and credential-rotation procedures for compromised components.

Recommended Controls

  • Inventory LiteLLM and related AI dependencies, including exact package versions and container image digests.
  • Block or quarantine LiteLLM 1.107.0 and verify package and image provenance before redeployment.
  • Rotate credentials and tokens accessible to affected LiteLLM processes or environments.
  • Use dependency pinning, signed artifacts where available, private registries, and malware scanning for Python packages and container images.
  • Monitor runtime activity for unexpected credential access, outbound connections, or unauthorized persistence associated with LiteLLM deployments.

Related RealGround Service

AI Agent SBOM and LLM Mapping · or start with the free AI Agent Security Scanner.

Sources

thehackernews.com: https://thehackernews.com/2026/10/litellm-compromised-in-supply-chain.html

Summary and analysis written by RealGround from the source above; last updated 2026-10-22.

Talk to AI CISO