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ai security
Off Guard: Breaking LiteLLM from authentication bypass to cloud compromise
LiteLLM's default authentication keys and unauthenticated Model Context Protocol (MCP) sessions enable attackers to achieve remote code execution and compromise cloud infrastructure at the root level. The vulnerability chain exposes cloud artificial intelligence (AI) infrastructure through weaknesses in custom code guardrails and credential handling.
Why it matters: Organizations deploying LiteLLM for cloud AI workloads face risk of complete infrastructure compromise and credential theft; security teams should audit deployment configurations and disable default keys immediately.
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- First seen by Cybersecurity Tracker