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  <id>https://cve.radiocsirt.org/rss/recent/all/10</id>
  <title>Most recent entries from all</title>
  <updated>2026-10-02T10:43:22.635944+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
  </author>
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  <subtitle>Contains only the most 10 recent entries.</subtitle>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/brew-gptme-cve-2026-71870</id>
    <title>BREW-gptme-CVE-2026-71870 — pypdf: Possible large memory usage for large /ToUnicode streams</title>
    <updated>2026-10-02T10:43:22.642506+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> Homebrew: gptme</p>
<p>### Impact</p>
<p>An attacker who uses this vulnerability can craft a PDF which leads to large memory consumption. This requires parsing the `/ToUnicode` entry of a font with unusually large values, for example during text extraction.</p>
<p>### Patches</p>
<p>This has been fixed in [pypdf==6.15.0](https://github.com/py-pdf/pypdf/releases/tag/6.15.0).</p>
<p>### Workarounds</p>
<p>If you cannot upgrade yet, consider applying the changes from PR [#3944](https://github.com/py-pdf/pypdf/pull/3944).</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/brew-gptme-cve-2026-71870"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/certfr-2026-avi-1233</id>
    <title>certfr-2026-avi-1233 — De multiples vulnérabilités ont été découvertes dans les produits IBM. Certaines d'entre elles permettent à un attaquan…</title>
    <updated>2026-10-02T10:43:22.642558+00:00</updated>
    <content>certfr-2026-avi-1233</content>
    <link href="https://cve.radiocsirt.org/vuln/certfr-2026-avi-1233"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/cleanstart-2026-yn75151</id>
    <title>CLEANSTART-2026-YN75151 — Security fix for CVE-2026-71870 applied in: litellm-database 1.85.1-r1</title>
    <updated>2026-10-02T10:43:22.642578+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> CleanStart: litellm-database</p>
<p>Security vulnerability affects the litellm-database package. This issue is resolved in later releases. See references for vulnerability details.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/cleanstart-2026-yn75151"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-349701</id>
    <title>EUVD-2026-349701</title>
    <updated>2026-10-02T10:43:22.642598+00:00</updated>
    <content>EUVD-2026-349701</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-349701"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2026-71870</id>
    <title>fkie_cve-2026-71870</title>
    <updated>2026-10-02T10:43:22.642609+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>pypdf is a free and open-source pure-python PDF library. Prior to 6.15.0, a crafted PDF can cause large memory consumption when pypdf/_cmap.py function parse_bfrange parses unusually large source-code or destination-string tokens in a font /ToUnicode CMap during text extraction. This issue is fixed in 6.15.0.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2026-71870"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-fp3f-mc75-235c</id>
    <title>GHSA-fp3f-mc75-235c — pypdf: Possible large memory usage for large /ToUnicode streams</title>
    <updated>2026-10-02T10:43:22.642629+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: pypdf</p>
<p>### Impact</p>
<p>An attacker who uses this vulnerability can craft a PDF which leads to large memory consumption. This requires parsing the `/ToUnicode` entry of a font with unusually large values, for example during text extraction.</p>
<p>### Patches</p>
<p>This has been fixed in [pypdf==6.15.0](https://github.com/py-pdf/pypdf/releases/tag/6.15.0).</p>
<p>### Workarounds</p>
<p>If you cannot upgrade yet, consider applying the changes from PR [#3944](https://github.com/py-pdf/pypdf/pull/3944).</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-fp3f-mc75-235c"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/opensuse-su-2026:11588-1</id>
    <title>openSUSE-SU-2026:11588-1 — python313-pypdf-6.16.2-1.1 on GA media</title>
    <updated>2026-10-02T10:43:22.642652+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>python313-pypdf-6.16.2-1.1 on GA media</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/opensuse-su-2026:11588-1"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2026-3655</id>
    <title>PYSEC-2026-3655 — pypdf: Possible large memory usage for large /ToUnicode streams</title>
    <updated>2026-10-02T10:43:22.642667+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: pypdf</p>
<p>### Impact</p>
<p>An attacker who uses this vulnerability can craft a PDF which leads to large memory consumption. This requires parsing the `/ToUnicode` entry of a font with unusually large values, for example during text extraction.</p>
<p>### Patches</p>
<p>This has been fixed in [pypdf==6.15.0](https://github.com/py-pdf/pypdf/releases/tag/6.15.0).</p>
<p>### Workarounds</p>
<p>If you cannot upgrade yet, consider applying the changes from PR [#3944](https://github.com/py-pdf/pypdf/pull/3944).</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2026-3655"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ubuntu-cve-2026-71870</id>
    <title>UBUNTU-CVE-2026-71870</title>
    <updated>2026-10-02T10:43:22.642688+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> Ubuntu:24.04:LTS: pypdf, Ubuntu:26.04:LTS: pypdf</p>
<p>pypdf is a free and open-source pure-python PDF library. Prior to 6.15.0, a crafted PDF can cause large memory consumption when pypdf/_cmap.py function parse_bfrange parses unusually large source-code or destination-string tokens in a font /ToUnicode CMap during text extraction. This issue is fixed in 6.15.0.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ubuntu-cve-2026-71870"/>
  </entry>
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