<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Difytap on ZX Cloud Security</title><link>https://zxcloudsecurity.co.uk/tags/difytap/</link><description>Recent content in Difytap on ZX Cloud Security</description><generator>Hugo</generator><language>en-GB</language><lastBuildDate>Sun, 22 Jun 2025 16:13:28 +0000</lastBuildDate><atom:link href="https://zxcloudsecurity.co.uk/tags/difytap/index.xml" rel="self" type="application/rss+xml"/><item><title>DifyTap Flaws Let Attackers Read AI Chats Across Tenants</title><link>https://zxcloudsecurity.co.uk/posts/difytap-dify-vulnerabilities-cross-tenant-ai-conversation-exposure/</link><pubDate>Mon, 22 Jun 2026 16:13:28 +0000</pubDate><guid>https://zxcloudsecurity.co.uk/posts/difytap-dify-vulnerabilities-cross-tenant-ai-conversation-exposure/</guid><description>Four DifyTap vulnerabilities in the Dify AI platform allow unauthenticated attackers to access other tenants&amp;#39; AI conversations, posing serious multi-tenanc</description><content:encoded><![CDATA[<p>🟠 <strong>High</strong>  |  <strong>Source:</strong> <a href="https://thehackernews.com/2026/06/researchers-detail-difytap-flaws-in.html">The Hacker News</a></p>
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<p>Four vulnerabilities collectively dubbed DifyTap have been found in Dify, a widely-used open-source AI workflow platform, that allow attackers to read AI conversations belonging to other tenants without needing to log in. Discovered by Zafran Security, the flaws represent a serious multi-tenancy isolation failure in a platform used to build and deploy AI agents. This matters because AI conversations often contain sensitive business data, proprietary prompts, and potentially personal information.</p>
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<p><strong>Security Architect&rsquo;s Take:</strong> If your organisation self-hosts Dify or uses a shared Dify deployment, audit your instance version immediately and apply available patches — prioritise this if Dify is exposed to the internet or used across multiple teams or customers. Until patched, consider restricting network access to Dify&rsquo;s API endpoints and reviewing audit logs for unexpected cross-tenant data access patterns.</p>
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<p><strong>Original advisory:</strong> <a href="https://thehackernews.com/2026/06/researchers-detail-difytap-flaws-in.html">Researchers Detail DifyTap Flaws in Dify That Could Expose AI Chats Across Tenants</a></p>
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