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CVE-2026-25960

HIGH

7.1

Description

vLLM is an inference and serving engine for large language models (LLMs). The SSRF protection fix for CVE-2026-24779 add in 0.15.1 can be bypassed in the load_from_url_async method due to inconsistent URL parsing behavior between the validation layer and the actual HTTP client. The SSRF fix uses urllib3.util.parse_url() to validate and extract the hostname from user-provided URLs. However, load_from_url_async uses aiohttp for making the actual HTTP requests, and aiohttp internally uses the yarl library for URL parsing. This vulnerability in 0.17.0.

Details CVE

Score CVSS v3.17.1

SeveriteHIGH

Vecteur CVSSCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L

Vecteur d'attaqueNETWORK

ComplexiteLOW

Privileges requisLOW

Interaction utilisateurNONE

Publie3/9/2026

Derniere modification3/18/2026

Sourcenvd

Observations honeypot0

Produits affectes

vllm:vllm

Faiblesses (CWE)

CWE-918

References

https://github.com/vllm-project/vllm/commit/6f3b2047abd4a748e3db4a68543f8221358002c0(security-advisories@github.com)

https://github.com/vllm-project/vllm/pull/34743(security-advisories@github.com)

https://github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfc(security-advisories@github.com)

https://github.com/vllm-project/vllm/security/advisories/GHSA-v359-jj2v-j536(security-advisories@github.com)

Correlations IOC

Aucune correlation enregistree

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