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CVE-2026-34753

MediumPublished

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

Published: Apr 6, 2026
Updated: Apr 7, 2026
Assigning CNA: GitHub_M
Evidence observed: Aug 26, 2026

Primary CVSS

5.4/ 10Medium

nvd · CVSS 3.1

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

EPSS probability estimate

0.2%

Low · next 30 days

Percentile: 16.1%
Model date: Sep 21, 2026

EPSS is a statistical estimate, not a certainty or a measure of impact. Combine it with CVSS, KEV status, exposure and your environment.

Summary

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.

Sources

CVE-2026-34753PoC
Proof-of-concept exploit for CVE-2026-34753, demonstrating the vulnerability and potential impact.

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