| Component | vLLM |
| Severity | high (CVSS 7.5) |
| CVSS vector | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| Published (NVD) | 2025-08-21 |
| Last modified | 2026-06-17 |
| Affected versions | vllm >= 0.1.0, < 0.10.1.1 |
| Fixed in | 0.10.1.1 |
| Weakness | CWE-400 |
| CISA KEV | not listed |
NVD 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.
What to do
- Upgrade vLLM to
0.10.1.1or later. - Do not expose the component's API or UI to the internet without authentication in front of it.
Sources
- NVD: CVE-2025-48956
- https://github.com/vllm-project/vllm/security/advisories/GHSA-rxc4-3w6r-4v47
- https://github.com/vllm-project/vllm/commit/d8b736f913a59117803d6701521d2e4861701944
- https://github.com/vllm-project/vllm/pull/23267
Read more
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