<?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>Sun, 04 Oct 2026 06:13:27 +0000</lastBuildDate>
    <item>
      <title>EUVD-2026-292884</title>
      <link>https://cve.radiocsirt.org/vuln/euvd-2026-292884</link>
      <description>EUVD-2026-292884</description>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/euvd-2026-292884</guid>
    </item>
    <item>
      <title>fkie_cve-2026-41264</title>
      <link>https://cve.radiocsirt.org/vuln/fkie_cve-2026-41264</link>
      <description>&lt;p&gt;Flowise is a drag &amp;amp; drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the CSV_Agents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. An attacker can leverage this vulnerability to execute code in the context of the user running the server. Using prompt injection techniques, an unauthenticated attacker with the ability to send prompts to a chatflow using the CSV Agent node may convince an LLM to respond with a malicious python script that executes attacker controlled commands on the Flowise server. This vulnerability is fixed in 3.1.0.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;Flowise is a drag &amp;amp; drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the CSV_Agents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. An attacker can leverage this vulnerability to execute code in the context of the user running the server. Using prompt injection techniques, an unauthenticated attacker with the ability to send prompts to a chatflow using the CSV Agent node may convince an LLM to respond with a malicious python script that executes attacker controlled commands on the Flowise server. This vulnerability is fixed in 3.1.0.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/fkie_cve-2026-41264</guid>
    </item>
    <item>
      <title>GHSA-3hjv-c53m-58jj — Flowise: CSV Agent Prompt Injection Remote Code Execution Vulnerability</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-3hjv-c53m-58jj</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; npm: flowise, npm: flowise-components&lt;/p&gt;
&lt;p&gt;## Abstract&lt;/p&gt;
&lt;p&gt;Trend Micro&amp;#39;s Zero Day Initiative has identified a vulnerability affecting FlowiseAI Flowise.&lt;/p&gt;
&lt;p&gt;## Vulnerability Details&lt;/p&gt;
&lt;p&gt;- **Version tested:** 3.0.13
- **Installer file:** https://github.com/FlowiseAI/Flowise
- **Platform tested:** Ubuntu 25.10&lt;/p&gt;
&lt;p&gt;## Analysis&lt;/p&gt;
&lt;p&gt;This vulnerability allows remote attackers to execute arbitrary code on affected installations of FlowiseAI Flowise. Authentication is not required to exploit this vulnerability.&lt;/p&gt;
&lt;p&gt;The specific flaw exists within the `run` method of the `CSV_Agents` class. The issue results from the lack of proper sandboxing when evaluating an LLM-generated Python script. An attacker can leverage this vulnerability to execute code in the context of the user running the server.&lt;/p&gt;
&lt;p&gt;### Product Information&lt;/p&gt;
&lt;p&gt;FlowiseAI Flowise version 3.0.13 — https://github.com/FlowiseAI/Flowise&lt;/p&gt;
&lt;p&gt;### Setup Instructions&lt;/p&gt;
&lt;p&gt;```bash
npm install -g flowise@3.0.13
npx flowise start
```&lt;/p&gt;
&lt;p&gt;### Root Cause Analysis&lt;/p&gt;
&lt;p&gt;FlowiseAI Flowise is an open source low-code tool for developers to build customized large language model (LLM) applications and AI agents. It supports integration with various LLMs, data sources, and tools in order to facilitate rapid development and deployment of AI solutions. Flowise offers a web interface with a drag-and-drop editor, as well as an API, through an Express web server accessible over HTTP on port 3000/TCP.&lt;/p&gt;
&lt;p&gt;One such feature of Flowise is the ability to create chatflows. Chatflows use a drag-and-drop editor that allows a developer…&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; npm: flowise, npm: flowise-components&lt;/p&gt;
&lt;p&gt;## Abstract&lt;/p&gt;
&lt;p&gt;Trend Micro&amp;#39;s Zero Day Initiative has identified a vulnerability affecting FlowiseAI Flowise.&lt;/p&gt;
&lt;p&gt;## Vulnerability Details&lt;/p&gt;
&lt;p&gt;- **Version tested:** 3.0.13
- **Installer file:** https://github.com/FlowiseAI/Flowise
- **Platform tested:** Ubuntu 25.10&lt;/p&gt;
&lt;p&gt;## Analysis&lt;/p&gt;
&lt;p&gt;This vulnerability allows remote attackers to execute arbitrary code on affected installations of FlowiseAI Flowise. Authentication is not required to exploit this vulnerability.&lt;/p&gt;
&lt;p&gt;The specific flaw exists within the `run` method of the `CSV_Agents` class. The issue results from the lack of proper sandboxing when evaluating an LLM-generated Python script. An attacker can leverage this vulnerability to execute code in the context of the user running the server.&lt;/p&gt;
&lt;p&gt;### Product Information&lt;/p&gt;
&lt;p&gt;FlowiseAI Flowise version 3.0.13 — https://github.com/FlowiseAI/Flowise&lt;/p&gt;
&lt;p&gt;### Setup Instructions&lt;/p&gt;
&lt;p&gt;```bash
npm install -g flowise@3.0.13
npx flowise start
```&lt;/p&gt;
&lt;p&gt;### Root Cause Analysis&lt;/p&gt;
&lt;p&gt;FlowiseAI Flowise is an open source low-code tool for developers to build customized large language model (LLM) applications and AI agents. It supports integration with various LLMs, data sources, and tools in order to facilitate rapid development and deployment of AI solutions. Flowise offers a web interface with a drag-and-drop editor, as well as an API, through an Express web server accessible over HTTP on port 3000/TCP.&lt;/p&gt;
&lt;p&gt;One such feature of Flowise is the ability to create chatflows. Chatflows use a drag-and-drop editor that allows a developer…&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/ghsa-3hjv-c53m-58jj</guid>
    </item>
    <item>
      <title>WID-SEC-W-2026-1145 — Flowise: Mehrere Schwachstellen</title>
      <link>https://cve.radiocsirt.org/vuln/wid-sec-w-2026-1145</link>
      <description>&lt;p&gt;Ein Angreifer kann mehrere Schwachstellen in Flowise ausnutzen, um beliebigen Programmcode auszuführen, um Sicherheitsvorkehrungen zu umgehen, um Informationen offenzulegen, und um Dateien zu manipulieren.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;Ein Angreifer kann mehrere Schwachstellen in Flowise ausnutzen, um beliebigen Programmcode auszuführen, um Sicherheitsvorkehrungen zu umgehen, um Informationen offenzulegen, und um Dateien zu manipulieren.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/wid-sec-w-2026-1145</guid>
    </item>
  </channel>
</rss>
