5.4
/ 10
MEDIUM
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:L
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.
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.
Basic Information
ID
CVE-2026-34753
Source
GitHub_M
Published
Apr 6, 2026 at 15:36
Modified
Apr 7, 2026 at 14:15
Affected Product
Vendor
vllm-project
Product
vllm
Version
>= 0.16.0, < 0.19.0
Affected Versions
vllm-project vllm >= 0.16.0, < 0.19.0