CVE-2025-48956

Published: Aug 21, 2025Modified: Oct 9, 2025

7.5

Vector

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

Exploitability: 3.9 / Impact: 3.6

Source: security-advisories@github.com (Secondary)

Description

vLLM is an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.10.1.1, a Denial of Service (DoS) vulnerability can be triggered by sending a single HTTP GET request with an extremely large header to an HTTP endpoint. This results in server memory exhaustion, potentially leading to a crash or unresponsiveness. The attack does not require authentication, making it exploitable by any remote user. This vulnerability is fixed in 0.10.1.1.

Affected (1)

Products: Vllm: Vllm

1 product

Configuration A

1 vulnerable

Vulnerable Software	Affected Versions
Vllm Vllm	From 0.1.0 to 0.10.1.1

Related CWEs

Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.

References (3)

https://github.com/vllm-project/vllm/commit/d8b736f913a59117803d6701521d2e4861701944

Source: security-advisories@github.com

Patch

https://github.com/vllm-project/vllm/pull/23267

Source: security-advisories@github.com

Issue TrackingPatch

https://github.com/vllm-project/vllm/security/advisories/GHSA-rxc4-3w6r-4v47

Source: security-advisories@github.com

Vendor Advisory

Timeline

No history available yet.