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.

References

• https://github.com/InternLM/lmdeploy/security/advisories/GHSA-9pf3-7rrr-x5jh
• https://github.com/InternLM/lmdeploy/commit/eb04b4281c5784a5cff5ea639c8f96b33b3ae5ee