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  <updated>2026-10-08T12:13:32.432408+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
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  <entry>
    <id>https://cve.radiocsirt.org/vuln/cve-2026-62997</id>
    <title>CVE-2026-62997 — Kedro-Datasets: Remote code execution in experimental `PyTorchDataset` via unsafe `torch.load`</title>
    <updated>2026-10-08T12:13:32.449383+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> kedro-org kedro-plugins</p>
<p>Kedro-Datasets provides data connectors for Kedro. From version 5.0.0 until 9.5.0, kedro_datasets_experimental.pytorch.PyTorchDataset in kedro-datasets loads .pt model files with torch.load without enforcing weights_only=True, and user-supplied load_args are silently dropped. On PyTorch versions earlier than 2.6, a malicious pickle-backed model from an attacker-influenced shared registry, downloaded checkpoint, or partitioned external source can execute arbitrary code when a Kedro pipeline loads it. The issue affects only the opt-in kedro_datasets_experimental component and does not affect users who load only trusted files. This issue is fixed in version 9.5.0.</p></div>
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    <link href="https://cve.radiocsirt.org/vuln/cve-2026-62997"/>
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