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  <id>https://vulnerability.circl.lu/rss/recent/all/10</id>
  <title>Most recent entries from all</title>
  <updated>2026-10-04T05:58:21.311592+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/cve-2026-47117</id>
    <title>CVE-2026-47117 — OpenMed &lt; 1.5.2 Remote Code Execution via PII Model Loading</title>
    <updated>2026-10-04T05:58:21.315045+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> maziyarpanahi openmed</p>
<p>OpenMed before 1.5.2 contains a remote code execution vulnerability in the PII privacy-filter model loading path. The privacy-filter dispatcher used broad substring matching on the user-supplied model_name parameter, allowing a value such as attacker/foo-privacy-filter-bar to route through a path that loads Hugging Face models with trust_remote_code=True. An unauthenticated attacker can supply a malicious model repository containing custom Transformers code via auto_map in config.json or tokenizer_config.json, which is imported and executed with the privileges of the OpenMed service process.</p></div>
    </content>
    <link href="https://vulnerability.circl.lu/vuln/cve-2026-47117"/>
  </entry>
  <entry>
    <id>https://vulnerability.circl.lu/vuln/ghsa-m3v4-v5gx-7wf5</id>
    <title>GHSA-m3v4-v5gx-7wf5 — OpenMed vulnerable to remote code injection through privacy-filter model loading path</title>
    <updated>2026-10-04T05:58:21.315179+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: openmed</p>
<p>OpenMed before 1.5.2 contains a remote code execution vulnerability in the PII privacy-filter model loading path. The privacy-filter dispatcher used broad substring matching on the user-supplied `model_name` parameter, allowing a value such as `attacker/foo-privacy-filter-bar` to route through a path that loads Hugging Face models with `trust_remote_code=True`. An unauthenticated attacker can supply a malicious model repository containing custom Transformers code via auto_map in `config.json` or `tokenizer_config.json`, which is imported and executed with the privileges of the OpenMed service process.</p></div>
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    <link href="https://vulnerability.circl.lu/vuln/ghsa-m3v4-v5gx-7wf5"/>
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