CVE-2026-34753

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

At a glance

Severity
MEDIUM 5.4
EPSS
EPSS 0.25 % · percentile 16 (2026-10-27)
State
PUBLISHED
Published
Updated
Assigner
GitHub_M
NVD status
Analyzed

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

VersionScoreVectorScored by
CVSS 3.1MEDIUM 5.4CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:LGitHub_M
CVSS 3.1MEDIUM 5.4CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:LNVD · security-advisories@github.com (Secondary)

Weaknesses (CWE)

Advisories

European references

Affected configurations (NVD CPE)

Affected products

ProductVersions
vllm-project · vllmaffected >= 0.16.0, < 0.19.0

References

Sources

SourceLicence
CVE List (CVEProject cvelistV5)CVE Program Terms of Use
EPSS (FIRST.org)FIRST — attribution requested
ENISA EUVDENISA — reproduction authorised, source acknowledged
NVD (NIST) via fkie-cad/nvd-json-data-feedsPublic domain — this product uses data from the NVD API but is not endorsed or certified by the NVD