CVE-2026-46480

FlowiseAI · Flowise

A vulnerability exists in the Flowise drag-and-drop user interface used for building Large Language Model (LLM) flows.

Executive summary

A high-severity vulnerability in the Flowise LLM workflow interface poses a significant risk to organizations utilizing this platform for AI automation.

Vulnerability

The vulnerability affects the Flowise interface, which is used for creating customized LLM flows. While specific technical details are limited, the severity score of 8.8 indicates a significant security deficiency potentially allowing for unauthorized access or code execution.

Business impact

Compromise of the Flowise interface could allow attackers to manipulate LLM workflows, potentially leading to unauthorized data exfiltration, injection of malicious prompts, or disruption of AI-driven business processes. A CVSS score of 8.8 necessitates immediate attention to prevent the abuse of sensitive LLM integrations.

Remediation

Immediate Action: Check the vendor's official documentation for the latest release and update the Flowise instance to the recommended secure version.

Proactive Monitoring: Review access logs for the Flowise dashboard and monitor for unusual workflow configurations or unauthorized project modifications.

Compensating Controls: Place the Flowise interface behind a reverse proxy or VPN with strict authentication requirements to minimize exposure to untrusted networks.

Exploitation status

Public Exploit Available: false

Analyst recommendation

Organizations integrating Flowise into their production pipelines should treat this vulnerability as urgent. Apply available patches immediately and audit existing LLM flows for any signs of tampering or unauthorized configuration changes.