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  <updated>2026-10-06T03:57:55.032217+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-2026-0897</id>
    <title>CVE-2026-0897 — Denial of Service in Keras via Excessive Memory Allocation in HDF5 Metadata</title>
    <updated>2026-10-06T03:57:55.047602+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> Google Keras, Red Hat OpenShift AI 2.25, Red Hat OpenShift AI 3.3, Red Hat Trusted Artifact Signer 1.3, Red Hat OpenShift AI (RHOAI)</p>
<p>Allocation of Resources Without Limits or Throttling in the HDF5 weight loading component in Google Keras 3.0.0 through 3.13.0 on all platforms allows a remote attacker to cause a Denial of Service (DoS) through memory exhaustion and a crash of the Python interpreter via a crafted .keras archive containing a valid model.weights.h5 file whose dataset declares an extremely large shape.</p></div>
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    <link href="https://cve.radiocsirt.org/vuln/cve-2026-0897"/>
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