Vulnerability 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.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Vllm | Vllm | >= 0.1.0, < 0.10.1.1 |
Related Weaknesses (CWE)
References
- https://github.com/vllm-project/vllm/commit/d8b736f913a59117803d6701521d2e486170Patch
- https://github.com/vllm-project/vllm/pull/23267Issue TrackingPatch
- https://github.com/vllm-project/vllm/security/advisories/GHSA-rxc4-3w6r-4v47Vendor Advisory
FAQ
What is CVE-2025-48956?
CVE-2025-48956 is a vulnerability with a CVSS score of 7.5 (HIGH). 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 w...
How severe is CVE-2025-48956?
CVE-2025-48956 has been rated HIGH with a CVSS base score of 7.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2025-48956?
Check the references section above for vendor advisories and patch information. Affected products include: Vllm Vllm.