CVE-2025-48956

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.

The following products are affected by CVE-2025-48956 vulnerability.

Here, you will find a curated list of external links that provide in-depth information to CVE-2025-48956.

URL	Resource
https://github.com/vllm-project/vllm/commit/d8b736f913a59117803d6701521d2e4861701944
https://github.com/vllm-project/vllm/pull/23267
https://github.com/vllm-project/vllm/security/advisories/GHSA-rxc4-3w6r-4v47
https://nvd.nist.gov/vuln/detail/CVE-2025-48956
https://www.cve.org/CVERecord?id=CVE-2025-48956