A pegada
LiteLLM often sits in front of model providers, application databases, and customer-facing AI features. When the proxy dependency is in an affected version range, a bug in API-key verification can move from package hygiene into authentication bypass and database exposure risk.
Como funciona
The check looks for the `litellm` package in Python dependency manifests and lockfiles. Exact lockfile pins produce the strongest signal. Looser manifest ranges are reported when they clearly allow affected releases from 1.81.16 through 1.83.6.
O raio de impacto
A vulnerable LiteLLM Proxy can put API keys, proxy metadata, and backing database records at risk depending on how the service is deployed. The highest-risk case is an internet-exposed proxy used by a multi-tenant AI app.
// what fixvibe checks
What FixVibe checks
FixVibe repo scans look for high-confidence security patterns and dependency risk in source context. Reports identify the affected area and recommended fix. For check-specific questions about exact detection heuristics, active payload details, or source-code rule patterns, contact support@fixvibe.app.
Defesas blindadas
Upgrade `litellm` to 1.83.7 or newer, regenerate the active lockfile, and deploy a fresh runtime image so an old wheel is not cached. If LiteLLM Proxy is exposed, review API-key verification assumptions, rotate credentials that may have been exposed, and keep auth tests around the proxy path.