litellm
Fail
Audited by Snyk on Aug 22, 2026
Risk Level: HIGH
Full Analysis
HIGH W007: Insecure credential handling detected in skill instructions.
- Insecure credential handling detected (high risk: 1.00). The skill prompt embeds literal secret-like values (e.g., "sk-1234" and a DB URL with user:pass) in example commands, which requires the LLM to reproduce or handle secrets verbatim and is therefore high-risk.
MEDIUM W011: Third-party content exposure detected (indirect prompt injection risk).
- Third-party content exposure detected (medium risk: 0.30). LiteLLM’s required runtime workflow exposes an OpenAI-compatible proxy API (/v1/chat/completions, /v1/models) that directly ingests outsider-authored free text from API request bodies (e.g., the chat prompt/messages) and forwards it to downstream LLM providers.
MEDIUM W012: Unverifiable external dependency detected (runtime URL that controls agent).
- Potentially malicious external URL detected (high risk: 0.70). The Quick Start invokes a remote Docker image (docker.litellm.ai/berriai/litellm:main-stable) via
docker run, which fetches and executes remote container code at deployment/runtime, so this URL results in executing externally-hosted code.
Issues (3)
W007
HIGHInsecure credential handling detected in skill instructions.
W011
MEDIUMThird-party content exposure detected (indirect prompt injection risk).
W012
MEDIUMUnverifiable external dependency detected (runtime URL that controls agent).
Audit Metadata