Summary
LiteLLM, a widely used tool in LLM/agent pipelines, experienced a supply chain attack through compromised CI credentials. Malicious releases allowed attackers to extract sensitive data like API keys and cloud credentials from user runtime environments. This incident highlights the critical dependency trust risks inherent in modern machine learning workflows.
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