PYSEC-2026-4348
Dashboard / Vulnerabilities / PYSEC-2026-4348
PYSEC-2026-4348
Summary:
Details: vLLM is an inference and serving engine for large language models. Prior to 0.32.0, the OpenAI-compatible server configures Starlette CORSMiddleware with allowed_origins set to a wildcard by default. A malicious web page can use a victim's browser to reach an unauthenticated vLLM server on localhost, an internal network, or a VPN, call endpoints including GET /v1/models and POST /v1/chat/completions, consume GPU resources, and read responses. Cookie-based cross-site request forgery does not apply because credentials are disabled by default, and deployments requiring bearer authentication are exposed only when the caller already has a usable token. This issue is fixed in version 0.32.0.
References: https://github.com/vllm-project/vllm/releases/tag/v0.32.0, https://github.com/vllm-project/vllm/commit/fcae5c98870ff2c20659731dce7ba3a3ff0d48aa, https://github.com/vllm-project/vllm/pull/61009, https://github.com/vllm-project/vllm/security/advisories/GHSA-vvpg-rrww-wpmh
Affected packages
Package
Name: vllm
Purl: pkg:pypi/vllm
Affected ranges
Type: ECOSYSTEM
Events:
