LiteLLM Python Package Compromised in Software Supply Chain Attack

Executive Summary

LiteLLM version 1.107.0 was reportedly compromised, with malicious package artifacts delivering a credential stealer and backdoor. Organizations running LiteLLM or AI applications that depend on it should prioritize dependency verification and credential review.

What Happened

Affected Products

• LiteLLM version 1.107.0
• PyPI wheels
• Docker images

Vulnerability / Attack Technique

Software supply chain compromise

Technical Mechanism

Malicious PyPI wheels and Docker images reportedly incorporated a credential stealer and backdoor. The article does not provide further technical details about the delivery or execution mechanism.

AI Security Category

LLM03:2025 Supply Chain

Part of the AI Supply Chain and AI SBOM topic.

Relevant Frameworks

RealGround Analysis

A compromised AI software dependency can expose credentials and establish unauthorized access in environments running LLM applications or agents. Teams should maintain an inventory of AI dependencies and containers, enforce trusted artifact controls, and investigate environments that used the reported version.

Recommended Controls

• Identify and isolate systems using LiteLLM version 1.107.0.
• Replace the affected package and Docker images with verified artifacts from trusted sources.
• Rotate credentials that may have been accessible to affected environments.
• Use software composition analysis, package signing or provenance verification, and container image scanning in CI/CD.
• Maintain an SBOM covering AI libraries, model integrations, and container dependencies.

Related RealGround Service

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

Sources

The Hacker News: https://thehackernews.com/search/label/artificial%20intelligence?m=1

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