CVE-2026-73485 FlowiseAI CVE debrief

Who should care

Organizations using Flowise before version 3.1.3, particularly those with exposed or internet-facing instances, should be aware of this critical vulnerability and take immediate action to upgrade or mitigate the risk. This includes reviewing current deployments, assessing potential impact, and implementing compensating controls where necessary. IT teams, security professionals, and system administrators responsible for Flowise installations should prioritize remediation efforts to prevent potential exploitation. Additionally, organizations should monitor for suspicious activity and implement logging and auditing to detect potential attacks. Vulnerability management and security teams should also review and update their asset inventories to reflect affected systems and track remediation progress. Flowise users should also consider restricting access to the Flowise application and implementing input validation and sanitization for the Airtable Agent node to reduce the attack surface. Finally, organizations should verify the integrity of their systems and data to ensure no unauthorized access or modifications have been made. This vulnerability's critical severity and potential for exploitation make it essential for affected organizations to act quickly and decisively to protect their systems and data. The vulnerability's impact on an organization's security posture and potential for significant disruption emphasize the need for prompt action and thorough remediation planning. By taking proactive steps to address this vulnerability, organizations can reduce their risk exposure and protect their assets from potential threats. Effective communication and coordination among stakeholders, including IT, security, and management teams, are crucial to ensure a swift and comprehensive response to this vulnerability. In addition to immediate remediation efforts, organizations should also consider conducting a thorough review of their overall security posture to identify potential weaknesses and areas for improvement. This may involve assessing their vulnerability management processes, penetration testing, and incident response planning to ensure they are adequately prepared.

Technical summary

The Flowise application, specifically the Airtable Agent node, is vulnerable to a code injection attack. This vulnerability allows unauthenticated attackers to execute arbitrary Python code by bypassing the pythonCodeValidator blocklist through obfuscation techniques. The code executes in an unsandboxed pyodide environment with full access to the host operating system. Successful exploitation could lead to unauthorized code execution, data breaches, or system compromise. Organizations using Flowise before version 3.1.3 should prioritize upgrading to version 3.1.3 or later to address this vulnerability.

Defensive priority

Organizations using Flowise before version 3.1.3 should prioritize upgrading to version 3.1.3 or later to address the code injection vulnerability in the Airtable Agent node.

Recommended defensive actions

• Upgrade Flowise to version 3.1.3 or later
• Implement input validation and sanitization for the Airtable Agent node
• Restrict access to the Flowise application
• Monitor for suspicious activity and implement logging and auditing
• Review compensating controls for exposed systems while remediation is scheduled and verified
• Track exceptions, retest remediated assets, and close the item only after evidence is documented
• Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up.

Evidence notes

The CVE record indicates a critical vulnerability in Flowise before version 3.1.3, allowing unauthenticated attackers to execute arbitrary Python code through obfuscation techniques in the Airtable Agent node. The vulnerability exists in an unsandboxed pyodide environment with full access to the host operating system. Evidence is based on official CVE and NVD records, as well as advisories from the vendor and Vulncheck.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.