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CVE-2025-48956 Detail

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.


Metrics

NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 4.0 Severity and Vector Strings:

NIST CVSS score
NIST: NVD
N/A
NVD assessment not yet provided.

References to Advisories, Solutions, and Tools

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URL Source(s) Tag(s)
https://github.com/vllm-project/vllm/commit/d8b736f913a59117803d6701521d2e4861701944 GitHub, Inc.
https://github.com/vllm-project/vllm/pull/23267 GitHub, Inc.
https://github.com/vllm-project/vllm/security/advisories/GHSA-rxc4-3w6r-4v47 GitHub, Inc.

Weakness Enumeration

CWE-ID CWE Name Source
CWE-400 Uncontrolled Resource Consumption GitHub, Inc.  

Change History

1 change records found show changes

Quick Info

CVE Dictionary Entry:
CVE-2025-48956
NVD Published Date:
08/21/2025
NVD Last Modified:
08/22/2025
Source:
GitHub, Inc.