CVE-2026-33625 PUBLISHED

LMDeploy vulnerable to arbitrary code execution via eval() of untrusted quant_dtype in model config loading

Assigner: GitHub_M
Reserved: 23.03.2026 Published: 18.09.2026 Updated: 18.09.2026

LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions 012.1 through 0.12.2 contain a code injection vulnerability in lmdeploy/pytorch/config.py line 620 that allows an attacker to execute arbitrary Python code by publishing a malicious HuggingFace model with a crafted quantization_config.quant_dtype value. When a user loads the model with lmdeploy, the quant_dtype is passed to eval(f'torch.{quant_dtype}') without any validation. Version 0.12.3 contains a patch.

Metrics

CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CVSS Score: 8.8

Product Status

Vendor InternLM
Product lmdeploy
Versions
  • Version >= 0.12.1, < 0.12.3 is affected

References

Problem Types

  • CWE-400: Uncontrolled Resource Consumption CWE