CVE-2026-34753

MEDIUM

5.4

Description

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.

CVE Details

CVSS v3.1 Score5.4

SeverityMEDIUM

CVSS VectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:L

Attack VectorNETWORK

ComplexityLOW

Privileges RequiredLOW

User InteractionNONE

Published4/6/2026

Last Modified4/6/2026

Sourcenvd

Honeypot Sightings0

Weaknesses (CWE)

CWE-918

References

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

IOC Correlations

No correlations recorded

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