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CVE-2026-33625

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

CVSS 3.1 8.8 HIGHCheck source for fixed versionsKEV status unknown

Original advisory

cve-program · CVE-2026-33625

Published

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.

Read the publisher's advisory

Affected versions, risk and source history

cve-program · CVE-2026-33625

Published

lmdeploy

Vendor product

Publisher's version information

Shown as published. These rules are not interpreted as NuGet package version ranges.

{
                    "vendor": "InternLM",
                    "product": "lmdeploy",
                    "versions": [
                        {
                            "version": ">= 0.12.1, < 0.12.3",
                            "status": "affected"
                        }
                    ]
                }

Original source record · Cite this exact observation · Complete original publisher JSON