漏洞信息
尽管我们使用了先进的大模型技术,但其输出仍可能包含不准确或过时的信息。神龙努力确保数据的准确性,但请您根据实际情况进行核实和判断。
Vulnerability Title
lmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load()
Vulnerability Description
LMDeploy is a toolkit for compressing, deploying, and serving LLMs. Prior to version 0.11.1, an insecure deserialization vulnerability exists in lmdeploy where torch.load() is called without the weights_only=True parameter when loading model checkpoint files. This allows an attacker to execute arbitrary code on the victim's machine when they load a malicious .bin or .pt model file. This issue has been patched in version 0.11.1.
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Vulnerability Type
可信数据的反序列化
Vulnerability Title
lmdeploy 代码问题漏洞
Vulnerability Description
lmdeploy是InternLM开源的一个用于压缩、部署和服务 LLM 的工具包。 lmdeploy 0.11.1之前版本存在代码问题漏洞,该漏洞源于加载模型检查点文件时未使用weights_only参数,可能导致攻击者通过恶意模型文件在受害者机器上执行任意代码。
CVSS Information
N/A
Vulnerability Type
N/A