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Six critical remote code execution vulnerabilities in Flowise expose AI workflow servers to unauthorized command execution via specific components like CSV processing and custom JavaScript functions. These flaws allow authenticated attackers to compromise the underlying infrastructure where language models are integrated with business tools, threatening data integrity and system access across connected services. The discovery underscores significant risks associated with incomplete security patches and unsafe sandbox configurations in popular low-code AI agent builders.
Six Flowise RCE Flaws Let Attackers Execute Code on AI Workflow Servers
Flowise servers used to build AI agents and automated workflows are facing six newly disclosed remote code execution flaws. The weaknesses could allow authenticated attackers to run commands on the underlying server, putting data, credentials, and connected systems at risk. The attack paths involve several Flowise components, including CSV processing, custom JavaScript functions, MCP configurations, […] The post Six Flowise RCE Flaws Let Attackers Execute Code on AI Workflow Servers appeared first on Cyber Security News.
Flowise servers used to build AI agents and automated workflows are facing six newly disclosed remote code execution flaws. The weaknesses could allow authenticated attackers to run commands on the underlying server, putting data, credentials, and connected systems at risk. The attack paths involve several Flowise components, including CSV processing, custom JavaScript functions, MCP configurations, database nodes, and record-management features. The findings add to concerns raised by previous Flowise injection exploitation, where exposed AI workflow servers became attractive targets for attackers. Researchers at Elttam…
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