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litellmai-safetydeveloper-toolscredential-theft

LiteLLM Python package compromised by supply-chain attack

[Security]: CRITICAL: Malicious litellm_init.pth in litellm 1.82.8 — credential stealer · Issue #24512 · BerriAI/litellm

github.com

March 24, 2026

3 min read

🔥🔥🔥🔥🔥

72/100

Summary

The litellm 1.82.8 package on PyPI contains a malicious litellm_init.pth file that executes a credential-stealing script upon starting the Python interpreter. Users are advised to avoid this version to prevent credential theft.

Key Takeaways

  • The litellm==1.82.8 PyPI package contains a malicious .pth file that executes a credential-stealing script upon Python interpreter startup without requiring an import statement.
  • The malicious script collects sensitive information from the host system, including API keys, SSH keys, Git credentials, and various cloud provider credentials.
  • Collected data is encrypted and exfiltrated to the domain models.litellm.cloud using a POST request.
  • The attack exploits the automatic execution of .pth files in Python's site-packages directory, making it stealthy and difficult to detect.
Read original article

Coverage & discussions

Hacker News · github.com

LiteLLM Python package compromised by supply-chain attack ↗

Community discussions

Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Community Sentiment

Mixed

Positives

  • The LiteLLM team is actively investigating the supply-chain attack, indicating a commitment to transparency and improvement in their security practices.
  • The quarantine of the compromised package on PyPI demonstrates proactive measures to protect users from potential threats.

Concerns

  • The reliance on dependencies and development setups raises significant trust issues, highlighting the need for better isolation and security in AI development environments.
  • Concerns about training data integrity suggest that compromised code could inadvertently influence AI models, leading to potential security vulnerabilities in their outputs.

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