Unauthenticated attackers could exploit a critical-severity vulnerability in the open source AI agent orchestration platform Ruflo to execute commands inside the container, Noma Labs security researchers warn.
A popular automation assistant with over 67,000 GitHub stars, Ruflo (formerly Claude Flow) comes with a multi-model AI chat interface, agent swarms, persistent memory, and built-in Model Context Protocol (MCP) tool calling.
Ruflo allows organizations to use AI applications, courtesy of agent swarms (support for coordinating up to 100 agents on shared enterprise-grade tasks), long-term memory enabling agents to recall past interactions, and an integrated MCP server enabling agents to execute various tasks.
“The bridge exposes 233 tools covering shell access, database operations, agent management, and memory storage, making it the single point through which every agent action flows. Because the MCP Bridge requires direct access to the underlying system resources to execute these commands, it creates a high-stakes security boundary,” Noma explains.
Tracked as CVE-2026-59726 (CVSS score of 10/10), the security defect was found in the MCP bridge in ruflo/docker-compose.yml, which exposed the POST /mcp endpoint without authentication.
