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    <lastBuildDate>Tue, 29 Sep 2026 17:15:41 +0000</lastBuildDate>
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      <title>CVE-2026-33625 — LMDeploy vulnerable to arbitrary code execution via eval() of untrusted quant_dtype in model config loading</title>
      <link>https://db.gcve.eu/vuln/cve-2026-33625</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; InternLM lmdeploy&lt;/p&gt;
&lt;p&gt;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&amp;#39;torch.{quant_dtype}&amp;#39;)` without any validation. Version 0.12.3 contains a patch.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; InternLM lmdeploy&lt;/p&gt;
&lt;p&gt;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&amp;#39;torch.{quant_dtype}&amp;#39;)` without any validation. Version 0.12.3 contains a patch.&lt;/p&gt;</content:encoded>
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