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  <id>https://db.gcve.eu/rss/recent/all/10</id>
  <title>Most recent entries from all</title>
  <updated>2026-09-30T17:06:28.293070+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>info@gcve.eu</email>
  </author>
  <link href="https://db.gcve.eu" rel="alternate"/>
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  <subtitle>Contains only the most 10 recent entries.</subtitle>
  <entry>
    <id>https://db.gcve.eu/vuln/cve-2026-40110</id>
    <title>CVE-2026-40110 — jupyter-server CORS origin validation bypass via unanchored regex in allow_origin_pat</title>
    <updated>2026-09-30T17:06:28.297072+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> jupyter-server jupyter_server, Red Hat Migration Toolkit for Applications 8.2, Red Hat OpenShift AI (RHOAI)</p>
<p>Jupyter Server is the backend for Jupyter web applications. In versions 2.17.0 and earlier, the Origin header validation uses Python's re.match() to check incoming origins against the allow_origin_pat configuration value. Because re.match() only anchors at the start of the string and does not require a full match, a pattern intended to match only a trusted domain (e.g., trusted.example.com) will also match any origin that begins with that domain followed by additional characters (e.g., trusted.example.com.evil.com). An attacker who controls such a domain can bypass the CORS origin restriction and make cross-origin requests to the Jupyter Server API from an untrusted site. This issue has been fixed in version 2.18.0.</p></div>
    </content>
    <link href="https://db.gcve.eu/vuln/cve-2026-40110"/>
  </entry>
  <entry>
    <id>https://db.gcve.eu/vuln/ghsa-24qx-w28j-9m6p</id>
    <title>GHSA-24qx-w28j-9m6p — Jupyter Server has a  CORS Origin Validation Bypass via `re.match()` in `allow_origin_pat`</title>
    <updated>2026-09-30T17:06:28.297211+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: jupyter-server</p>
<p>Jupyter Server uses `re.match()` to validate the Origin header against the `allow_origin_pat` configuration.</p>
<p>Since `re.match()` only anchors at the start of the string, an attacker who controls a domain like `http://trusted.example.com.evil.com/` passes validation against a pattern intended to match only `trusted.example.com`.</p>
<p>### Impact</p>
<p>&lt;=2.17.0</p>
<p>### Patches</p>
<p>057869a327c46730afede3eab0ca2d2e3e74acea, 49b34392feaa97735b3b777e3baf8f22f2a14ed8</p>
<p>### Workarounds</p>
<p>Wrap your `allow_origin_pat` value with `^` and `$`</p>
<p>### References</p>
<p>https://github.com/jupyter-server/jupyter_server/pull/603
https://docs.python.org/3/library/re.html#re.fullmatch
https://docs.python.org/3/library/re.html#re.match</p></div>
    </content>
    <link href="https://db.gcve.eu/vuln/ghsa-24qx-w28j-9m6p"/>
  </entry>
  <entry>
    <id>https://db.gcve.eu/vuln/pysec-2026-2187</id>
    <title>PYSEC-2026-2187</title>
    <updated>2026-09-30T17:06:28.297275+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: jupyter-server</p>
<p>Jupyter Server is the backend for Jupyter web applications. In versions 2.17.0 and earlier, the Origin header validation uses Python's re.match() to check incoming origins against the allow_origin_pat configuration value. Because re.match() only anchors at the start of the string and does not require a full match, a pattern intended to match only a trusted domain (e.g., trusted.example.com) will also match any origin that begins with that domain followed by additional characters (e.g., trusted.example.com.evil.com). An attacker who controls such a domain can bypass the CORS origin restriction and make cross-origin requests to the Jupyter Server API from an untrusted site. This issue has been fixed in version 2.18.0.</p></div>
    </content>
    <link href="https://db.gcve.eu/vuln/pysec-2026-2187"/>
  </entry>
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