CVE-2026-33625

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

Published: Sep 18, 2026Updated: Sep 24, 2026 Sources: CVE List NVDCWE-400

8.8HIGH

Description

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.

No summary for this CVE yet.

CVSS Vector Breakdown

Exploitability

AV:NAttack Vector

Network

AC:LAttack Complexity

Low

PR:NPrivileges Required

None

UI:RUser Interaction

Required

Scope

S:UScope

Unchanged

Impact

C:HConfidentiality

High

I:HIntegrity

High

A:HAvailability

High

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Weaknesses

CWE-400

Affected Products

InternLM

commercial·CNaka lmdeploy

lmdeployMixed

AI / ML / llm-serving-inference

Exploitability

No known exploits, KEV entries, or remediation guidance available for this vulnerability yet.

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Attack Graph

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MITRE ATT&CK

1 technique

Impact

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References

https://github.com/InternLM/lmdeploy/security/advisories/GHSA-3hmm-rh5q-gwwr

github.com

https://github.com/InternLM/lmdeploy/releases/tag/v0.12.3

github.com

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