SecuriTricks - CVE-2026-34753

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.

Product(s) Impacted

Vendor	Product	Versions
Vllm	Vllm	0.16.0-0.19.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-918

Server-Side Request Forgery (SSRF)

The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.

*CPE(s)

Affected systems and software identified for this CVE.

Type	Vendor	Product	Version	Update	Edition	Language	Software Edition	Target Software	Target Hardware	Other Information
a	vllm	vllm	0.16.0-0.19.0	/	/	/	/	/	/	/

References

https://github.com/vllm-project/vllm/security/advisories/GHSA-pf3h-qjgv-vcpr

CVSS Score

5.4 / 10

CVSS Data - 3.1

Attack Vector: NETWORK
Attack Complexity: LOW
Privileges Required: LOW
Scope: UNCHANGED
Confidentiality Impact: LOW
Integrity Impact: NONE
Availability Impact: LOW

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

View Vector String

Timeline

Published: April 6, 2026, 4:16 p.m.
Last Modified: April 7, 2026, 1:20 p.m.

Status : Undergoing Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

[email protected]

CVE-2026-34753