Vulnerability Information
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Vulnerability Title
vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions
Vulnerability Description
vLLM is an inference and serving engine for large language models (LLMs). In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimension mismatch that results in an unhandled runtime error, leading to complete server termination. This issue has been patched in version 0.12.0.
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Vulnerability Type
不加限制或调节的资源分配
Vulnerability Title
vLLM 安全漏洞
Vulnerability Description
vLLM是vLLM开源的一个适用于 LLM 的高吞吐量和内存高效推理和服务引擎。 vLLM 0.6.4版本至0.12.0之前版本存在安全漏洞，该漏洞源于发送特制的1x1像素图像会导致张量维度不匹配，可能导致服务器完全终止。
CVSS Information
N/A
Vulnerability Type
N/A