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    <link>https://cve.radiocsirt.org</link>
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      <title>CVE-2026-24747 — PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files</title>
      <link>https://cve.radiocsirt.org/vuln/cve-2026-24747</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; pytorch, Red Hat OpenShift AI 2.25, Red Hat OpenShift AI (RHOAI)&lt;/p&gt;
&lt;p&gt;PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; pytorch, Red Hat OpenShift AI 2.25, Red Hat OpenShift AI (RHOAI)&lt;/p&gt;
&lt;p&gt;PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/cve-2026-24747</guid>
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    <item>
      <title>GHSA-63cw-57p8-fm3p — PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-63cw-57p8-fm3p</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: pytorch&lt;/p&gt;
&lt;p&gt;### Summary&lt;/p&gt;
&lt;p&gt;A vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution.&lt;/p&gt;
&lt;p&gt;### Vulnerability Details&lt;/p&gt;
&lt;p&gt;The `weights_only=True` unpickler failed to properly validate pickle opcodes and storage metadata, allowing:&lt;/p&gt;
&lt;p&gt;1. **Heap memory corruption** via `SETITEM`/`SETITEMS` opcodes applied to non-dictionary types
2. **Storage size mismatch** between declared element count and actual data in the archive&lt;/p&gt;
&lt;p&gt;### Impact&lt;/p&gt;
&lt;p&gt;An attacker who can convince a user to load a malicious checkpoint file may achieve arbitrary code execution in the context of the victim&amp;#39;s process.&lt;/p&gt;
&lt;p&gt;# Credit
Ji&amp;#39;an Zhou&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: pytorch&lt;/p&gt;
&lt;p&gt;### Summary&lt;/p&gt;
&lt;p&gt;A vulnerability in PyTorch&amp;#39;s `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution.&lt;/p&gt;
&lt;p&gt;### Vulnerability Details&lt;/p&gt;
&lt;p&gt;The `weights_only=True` unpickler failed to properly validate pickle opcodes and storage metadata, allowing:&lt;/p&gt;
&lt;p&gt;1. **Heap memory corruption** via `SETITEM`/`SETITEMS` opcodes applied to non-dictionary types
2. **Storage size mismatch** between declared element count and actual data in the archive&lt;/p&gt;
&lt;p&gt;### Impact&lt;/p&gt;
&lt;p&gt;An attacker who can convince a user to load a malicious checkpoint file may achieve arbitrary code execution in the context of the victim&amp;#39;s process.&lt;/p&gt;
&lt;p&gt;# Credit
Ji&amp;#39;an Zhou&lt;/p&gt;</content:encoded>
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