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.
Advisories
Source ID Title
Github GHSA Github GHSA GHSA-pf3h-qjgv-vcpr vLLM: Server-Side Request Forgery (SSRF) in `download_bytes_from_url `
Fixes

Solution

No solution given by the vendor.


Workaround

No workaround given by the vendor.

History

Mon, 06 Apr 2026 16:45:00 +0000

Type Values Removed Values Added
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.
Title vLLM affected by Server-Side Request Forgery (SSRF) in `download_bytes_from_url `
Weaknesses CWE-918
References
Metrics cvssV3_1

{'score': 5.4, 'vector': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:L'}


Projects

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cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published:

Updated: 2026-04-06T15:36:52.942Z

Reserved: 2026-03-30T19:17:10.225Z

Link: CVE-2026-34753

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Received

Published: 2026-04-06T16:16:36.307

Modified: 2026-04-06T16:16:36.307

Link: CVE-2026-34753

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

No data.

Weaknesses