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CVE-2025-62164

prompt_embeds deserialization allows DoS and potential RCE

Severity
High 8.8
Published
20 Nov 2025
Last changed
19 Oct 2026
Added to UpHeron
3 Nov 2026
Fixed in
0.11.1
Also known as
GHSA-mrw7-hf4f-83pf
Sources
NVD, Project advisories (GitHub)

Description

vLLM is an inference and serving engine for large language models (LLMs). From versions 0.10.2 to before 0.11.1, a memory corruption vulnerability could lead to a crash (denial-of-service) and potentially remote code execution (RCE), exists in the Completions API endpoint. When processing user-supplied prompt embeddings, the endpoint loads serialized tensors using torch.load() without sufficient…

Affected software

SoftwareAffected versions
vLLMServers and applications · cpe:a:vllm:vllm
  • From 0.10.2 before 0.11.1
  • Version 0.11.1-rc0
  • Version 0.11.1-rc1
vLLMServers and applications · github:vllm-project/vllm
  • From 0.10.2 before 0.11.1

References

  • NVD https://nvd.nist.gov/vuln/detail/CVE-2025-62164
  • CVE.org https://www.cve.org/CVERecord?id=CVE-2025-62164
  • GitHub Advisory Database https://github.com/advisories/GHSA-mrw7-hf4f-83pf
  • github.com https://github.com/vllm-project/vllm/security/advisories/GHSA-mrw7-hf4f-83pf