CVE-2026-115917
vLLM is an inference and serving engine for large language models. Prior to 0.32.0, the OpenAI-compatible server configures Starlette CORSMi
CVSS
3.4
Low
EPSS
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KEV
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Exploit Today
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0-100
Published: Oct 26, 2026 · Last modified: Oct 26, 2026 · CWE-942
Not enough EPSS history yet.
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.
- github.comhttps://github.com/vllm-project/vllm/commit/fcae5c98870ff2c20659731dce7ba3a3ff0d48aa
- github.comhttps://github.com/vllm-project/vllm/pull/61009
- github.comhttps://github.com/vllm-project/vllm/releases/tag/v0.32.0
- github.comhttps://github.com/vllm-project/vllm/security/advisories/GHSA-vvpg-rrww-wpmh