Vulnerability Information
Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.
Vulnerability Title
vLLM: Remote DoS via Special-Token Placeholders
Vulnerability Description
vLLM is an inference and serving engine for large language models (LLMs). From 0.6.1 to before 0.20.0, there is a a Token Injection vulnerability in vLLM’s multimodal processing. Unauthenticated, text-only prompts that spell special tokens are interpreted as control. Image and video placeholder sequences supplied without matching data cause vLLM to index into empty grids during input-position computation, raising an unhandled IndexError and terminating the worker or degrading availability. Multimodal paths that rely on image_grid_thw/video_grid_thw are affected. This vulnerability is fixed in 0.20.0.
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Vulnerability Type
对数组索引的验证不恰当
Vulnerability Title
vLLM 输入验证错误漏洞
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 0.6.1至0.20.0之前版本存在输入验证错误漏洞,该漏洞源于多模态处理中的令牌注入漏洞,可能导致未经身份验证的纯文本提示被解释为控制令牌,以及缺少匹配数据的图像和视频占位符序列导致未处理的IndexError,终止工作进程或降低可用性。
CVSS Information
N/A
Vulnerability Type
N/A