CVE-2026-115917
LOW
3,4
Source: [email protected]
Attack Vector: network
Attack Complexity: high
Privileges Required: none
User Interaction: required
Scope: changed
Confidentiality: low
Integrity: none
Availability: none
Description
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.
942
Permissive Cross-domain Security Policy with Untrusted Domains
IncompleteCommon Consequences
Security Scopes Affected:
Confidentiality
Integrity
Availability
Access Control
Potential Impacts:
Execute Unauthorized Code Or Commands
Bypass Protection Mechanism
Read Application Data
Varies By Context
Applicable Platforms
Technologies:
Web Based, Web Server
https://github.com/vllm-project/vllm/commit/fcae5c98870ff2c20659731dce7ba3a3ff0…
https://github.com/vllm-project/vllm/pull/61009
https://github.com/vllm-project/vllm/releases/tag/v0.32.0
https://github.com/vllm-project/vllm/security/advisories/GHSA-vvpg-rrww-wpmh