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  <updated>2026-09-29T17:15:42.477490+00:00</updated>
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  <entry>
    <id>https://db.gcve.eu/vuln/cve-2026-33625</id>
    <title>CVE-2026-33625 — LMDeploy vulnerable to arbitrary code execution via eval() of untrusted quant_dtype in model config loading</title>
    <updated>2026-09-29T17:15:42.479206+00:00</updated>
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      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> InternLM lmdeploy</p>
<p>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.</p></div>
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    <link href="https://db.gcve.eu/vuln/cve-2026-33625"/>
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