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  <title>Most recent entries from all</title>
  <updated>2026-10-11T06:00:08.601020+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>info@circl.lu</email>
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  <subtitle>Contains only the most 10 recent entries.</subtitle>
  <entry>
    <id>https://vulnerability.circl.lu/vuln/bit-mlflow-2024-37053</id>
    <title>BIT-mlflow-2024-37053</title>
    <updated>2026-10-11T06:00:10.669261+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> Bitnami: mlflow</p>
<p>Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.</p></div>
    </content>
    <link href="https://vulnerability.circl.lu/vuln/bit-mlflow-2024-37053"/>
  </entry>
  <entry>
    <id>https://vulnerability.circl.lu/vuln/fkie_cve-2024-37053</id>
    <title>fkie_cve-2024-37053</title>
    <updated>2026-10-11T06:00:10.669365+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.</p>
      </div>
    </content>
    <link href="https://vulnerability.circl.lu/vuln/fkie_cve-2024-37053"/>
  </entry>
  <entry>
    <id>https://vulnerability.circl.lu/vuln/ghsa-43c4-9qgj-x742</id>
    <title>GHSA-43c4-9qgj-x742 — MLFlow unsafe deserialization</title>
    <updated>2026-10-11T06:00:10.669415+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: mlflow</p>
<p>Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.</p></div>
    </content>
    <link href="https://vulnerability.circl.lu/vuln/ghsa-43c4-9qgj-x742"/>
  </entry>
  <entry>
    <id>https://vulnerability.circl.lu/vuln/pysec-2026-1636</id>
    <title>PYSEC-2026-1636 — MLFlow unsafe deserialization</title>
    <updated>2026-10-11T06:00:10.669457+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: mlflow</p>
<p>Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.</p></div>
    </content>
    <link href="https://vulnerability.circl.lu/vuln/pysec-2026-1636"/>
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