<?xml version='1.0' encoding='UTF-8'?>
<?xml-stylesheet href="/static/style.xsl" type="text/xsl"?>
<rss xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/" version="2.0">
  <channel>
    <title>Most recent entries from all</title>
    <link>https://cve.radiocsirt.org</link>
    <description>Contains only the most 10 recent entries.</description>
    <docs>http://www.rssboard.org/rss-specification</docs>
    <generator>python-feedgen</generator>
    <language>en</language>
    <lastBuildDate>Sat, 03 Oct 2026 12:50:07 +0000</lastBuildDate>
    <item>
      <title>EUVD-2026-2092</title>
      <link>https://cve.radiocsirt.org/vuln/euvd-2026-2092</link>
      <description>EUVD-2026-2092</description>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/euvd-2026-2092</guid>
    </item>
    <item>
      <title>fkie_cve-2024-3135</title>
      <link>https://cve.radiocsirt.org/vuln/fkie_cve-2024-3135</link>
      <description>&lt;p&gt;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&amp;#39;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&amp;#39;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.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;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&amp;#39;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&amp;#39;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.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/fkie_cve-2024-3135</guid>
    </item>
    <item>
      <title>GHSA-jhvf-7c85-3c9g — LocalAI cross-site request forgery vulnerability</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-jhvf-7c85-3c9g</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; Go: github.com/go-skynet/LocalAI&lt;/p&gt;
&lt;p&gt;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&amp;#39;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&amp;#39;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.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; Go: github.com/go-skynet/LocalAI&lt;/p&gt;
&lt;p&gt;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&amp;#39;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&amp;#39;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.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/ghsa-jhvf-7c85-3c9g</guid>
    </item>
    <item>
      <title>gsd-2024-3135</title>
      <link>https://cve.radiocsirt.org/vuln/gsd-2024-3135</link>
      <description>gsd-2024-3135</description>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/gsd-2024-3135</guid>
    </item>
  </channel>
</rss>
