CVE-2026-34753

vLLM affected by Server-Side Request Forgery (SSRF) in `download_bytes_from_url `

State: Published
Severity: 5.4 Medium
Published: Apr 6, 2026
Updated: Apr 7, 2026
Reserved: Mar 30, 2026

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.

Scores

CVSS	Score	Vector	Source
3.1	5.4 Medium	CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:L	GitHub_M

Weaknesses

CWE-918 Server-Side Request Forgery (SSRF)

Affected Products

Product	Versions
vllmvllm-project	>= 0.16.0, < 0.19.0Affected

References

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

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