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CVE-2026-25960
HIGH7.1
Beschreibung
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.
CVE Details
CVSS v3.1 Bewertung7.1
SchweregradHIGH
CVSS VektorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L
AngriffsvektorNETWORK
KomplexitatLOW
Erforderliche PrivilegienLOW
BenutzerinteraktionNONE
Veroffentlicht3/9/2026
Zuletzt geandert3/18/2026
Quellenvd
Honeypot-Sichtungen0
Betroffene Produkte
vllm:vllm
Schwachen (CWE)
CWE-918
Referenzen
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)
IOC Korrelationen
Keine Korrelationen erfasst
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