CVE-2026-34753CWE-918

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

Medium · published April 6, 2026

CVSS v3.1
5.4
EPSS
0%
Percentile
22.1
In the wild
Unconfirmed
What it is

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.

The record
Technical detail
CVSS v3.1
5.4 · MEDIUM
Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:L
CVSS v4.0
Not supplied
EPSS
0.00305 · 22.1th percentile
Weakness
CWE-918 · Server-Side Request Forgery (SSRF)
Published
2026-04-06T15:36Z
EPSS history
Timeline
  • 06 APR 15:36Z
    vLLM affected by Server-Side Request Forgery (SSRF) in `download_bytes_from_url `
    cvelistv5