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  <title>Most recent entries from all</title>
  <updated>2026-10-03T03:16:55.817491+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
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  <subtitle>Contains only the most 10 recent entries.</subtitle>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-2092</id>
    <title>EUVD-2026-2092</title>
    <updated>2026-10-03T03:16:55.877620+00:00</updated>
    <content>EUVD-2026-2092</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-2092"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2024-3135</id>
    <title>fkie_cve-2024-3135</title>
    <updated>2026-10-03T03:16:55.877657+00:00</updated>
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        <p>A Cross-Site Request Forgery (CSRF) vulnerability exists in the mudler/localai application, allowing attackers to craft malicious webpages that, when visited by a victim, perform unauthorized actions on the victim's local LocalAI instance without their consent. This vulnerability enables attackers to exhaust system resources, consume credits, and fill disk space by making numerous resource-intensive API calls, such as generating images or uploading files. The vulnerability stems from the application's acceptance of simple request content-types without requiring CSRF tokens or implementing other CSRF mitigation measures. Successful exploitation does not require network access to the vulnerable LocalAI environment.</p>
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    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2024-3135"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-jhvf-7c85-3c9g</id>
    <title>GHSA-jhvf-7c85-3c9g — LocalAI cross-site request forgery vulnerability</title>
    <updated>2026-10-03T03:16:55.877692+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> Go: github.com/go-skynet/LocalAI</p>
<p>A Cross-Site Request Forgery (CSRF) vulnerability exists in the mudler/localai application, allowing attackers to craft malicious webpages that, when visited by a victim, perform unauthorized actions on the victim's local LocalAI instance without their consent. This vulnerability enables attackers to exhaust system resources, consume credits, and fill disk space by making numerous resource-intensive API calls, such as generating images or uploading files. The vulnerability stems from the application's acceptance of simple request content-types without requiring CSRF tokens or implementing other CSRF mitigation measures. Successful exploitation does not require network access to the vulnerable LocalAI environment.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-jhvf-7c85-3c9g"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/gsd-2024-3135</id>
    <title>gsd-2024-3135</title>
    <updated>2026-10-03T03:16:55.877749+00:00</updated>
    <content>gsd-2024-3135</content>
    <link href="https://cve.radiocsirt.org/vuln/gsd-2024-3135"/>
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