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| Source | ID | Title |
|---|---|---|
Github GHSA |
GHSA-3hmm-rh5q-gwwr | LMDeploy vulnerable to arbitrary code execution via eval() of untrusted quant_dtype in model config loading |
Fri, 18 Sep 2026 21:30:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| 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. | |
| Title | LMDeploy vulnerable to arbitrary code execution via eval() of untrusted quant_dtype in model config loading | |
| Weaknesses | CWE-400 | |
| References |
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| Metrics |
cvssV3_1
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Subscriptions
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Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2026-09-18T17:13:37.133Z
Reserved: 2026-03-23T14:24:11.617Z
Link: CVE-2026-33625
No data.
Status : Received
Published: 2026-09-18T18:17:06.640
Modified: 2026-09-18T18:17:06.640
Link: CVE-2026-33625
No data.
OpenCVE Enrichment
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Github GHSA