Vulnerability Information
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Vulnerability Title
vLLM phi4mm: Quadratic Time Complexity in Input Token Processing leads to denial of service
Vulnerability Description
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Versions starting from 0.8.0 and prior to 0.8.5 are affected by a critical performance vulnerability in the input preprocessing logic of the multimodal tokenizer. The code dynamically replaces placeholder tokens (e.g., <|audio_|>, <|image_|>) with repeated tokens based on precomputed lengths. Due to inefficient list concatenation operations, the algorithm exhibits quadratic time complexity (O(n²)), allowing malicious actors to trigger resource exhaustion via specially crafted inputs. This issue has been patched in version 0.8.5.
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Vulnerability Type
CWE-1333
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 0.8.0至0.8.5之前版本存在安全漏洞，该漏洞源于输入预处理逻辑效率低下，可能导致资源耗尽。
CVSS Information
N/A
Vulnerability Type
N/A