<?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>Tue, 06 Oct 2026 19:30:29 +0000</lastBuildDate>
    <item>
      <title>EUVD-2026-278237</title>
      <link>https://cve.radiocsirt.org/vuln/euvd-2026-278237</link>
      <description>EUVD-2026-278237</description>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/euvd-2026-278237</guid>
    </item>
    <item>
      <title>fkie_cve-2026-4399</title>
      <link>https://cve.radiocsirt.org/vuln/fkie_cve-2026-4399</link>
      <description>&lt;p&gt;Prompt injection vulnerability in 1millionbot Millie chatbot that occurs when a user manages to evade chat restrictions using Boolean prompt injection techniques (formulating a question in such a way that, upon receiving an affirmative response (&amp;#39;true&amp;#39;), the model executes the injected instruction), causing it to return prohibited information and information outside its intended context. Successful exploitation of this vulnerability could allow a malicious remote attacker to abuse the service for purposes other than those originally intended, or even execute out-of-context tasks using 1millionbot&amp;#39;s resources and/or OpenAI&amp;#39;s API key. This allows the attacker to evade the containment mechanisms implemented during LLM model training and obtain responses or chat behaviors that were originally restricted.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;Prompt injection vulnerability in 1millionbot Millie chatbot that occurs when a user manages to evade chat restrictions using Boolean prompt injection techniques (formulating a question in such a way that, upon receiving an affirmative response (&amp;#39;true&amp;#39;), the model executes the injected instruction), causing it to return prohibited information and information outside its intended context. Successful exploitation of this vulnerability could allow a malicious remote attacker to abuse the service for purposes other than those originally intended, or even execute out-of-context tasks using 1millionbot&amp;#39;s resources and/or OpenAI&amp;#39;s API key. This allows the attacker to evade the containment mechanisms implemented during LLM model training and obtain responses or chat behaviors that were originally restricted.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/fkie_cve-2026-4399</guid>
    </item>
    <item>
      <title>GHSA-7649-76jc-fc5r</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-7649-76jc-fc5r</link>
      <description>&lt;p&gt;Prompt injection vulnerability in 1millionbot Millie chatbot that occurs when a user manages to evade chat restrictions using Boolean prompt injection techniques (formulating a question in such a way that, upon receiving an affirmative response (&amp;#39;true&amp;#39;), the model executes the injected instruction), causing it to return prohibited information and information outside its intended context. Successful exploitation of this vulnerability could allow a malicious remote attacker to abuse the service for purposes other than those originally intended, or even execute out-of-context tasks using 1millionbot&amp;#39;s resources and/or OpenAI&amp;#39;s API key. This allows the attacker to evade the containment mechanisms implemented during LLM model training and obtain responses or chat behaviors that were originally restricted.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;Prompt injection vulnerability in 1millionbot Millie chatbot that occurs when a user manages to evade chat restrictions using Boolean prompt injection techniques (formulating a question in such a way that, upon receiving an affirmative response (&amp;#39;true&amp;#39;), the model executes the injected instruction), causing it to return prohibited information and information outside its intended context. Successful exploitation of this vulnerability could allow a malicious remote attacker to abuse the service for purposes other than those originally intended, or even execute out-of-context tasks using 1millionbot&amp;#39;s resources and/or OpenAI&amp;#39;s API key. This allows the attacker to evade the containment mechanisms implemented during LLM model training and obtain responses or chat behaviors that were originally restricted.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/ghsa-7649-76jc-fc5r</guid>
    </item>
  </channel>
</rss>
