
Critical Ruflo flaw lets attackers hijack AI agents through exposed MCP bridge
A critical vulnerability in the open-source AI agent platform Ruflo could allow unauthenticated attackers to take control of enterprise AI environments by exploiting an exposed Model Context Protocol (MCP) bridge, according to research published by Noma Security.
The flaw, tracked as CVE-2026-59726 and dubbed RufRoot, carries a maximum CVSS score of 10.0 and affects Ruflo versions prior to 3.16.3, Noma Security wrote in a blog post.
The vulnerability allows attackers to execute arbitrary code, steal large language model (LLM) API keys, access user conversations, hijack AI agents, and manipulate the platform’s persistent AI memory through a single HTTP request.
The researchers said the issue ...