CVE-2026-34753

MEDIUM

5.4

Descricao

vLLM is an inference and serving engine for large language models (LLMs). From 0.16.0 to before 0.19.0, a server-side request forgery (SSRF) vulnerability in download_bytes_from_url allows any actor who can control batch input JSON to make the vLLM batch runner issue arbitrary HTTP/HTTPS requests from the server, without any URL validation or domain restrictions. This can be used to target internal services (e.g. cloud metadata endpoints or internal HTTP APIs) reachable from the vLLM host. This vulnerability is fixed in 0.19.0.

Detalhes CVE

Pontuacao CVSS v3.15.4

SeveridadeMEDIUM

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

Vetor de ataqueNETWORK

ComplexidadeLOW

Privilegios necessariosLOW

Interacao do usuarioNONE

Publicado4/6/2026

Ultima modificacao4/6/2026

Fontenvd

Avistamentos honeypot0

Fraquezas (CWE)

CWE-918

Referencias

https://github.com/vllm-project/vllm/security/advisories/GHSA-pf3h-qjgv-vcpr(security-advisories@github.com)

Correlacoes IOC

Sem correlacoes registradas

This product uses data from the NVD API but is not endorsed or certified by the NVD.