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CVE-2026-33625

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

Description (CNA)

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.

Affected (CNA)

Vendor / productVersions
InternLM / lmdeployaffected >= 0.12.1, < 0.12.3

CWE

CWE-400

References

ADP enrichment

CISA-ADP

No English description supplied.