CVE-2026-73486 FlowiseAI CVE debrief

Who should care

Flowise users and administrators, security teams, and vulnerability management professionals should be aware of this critical vulnerability and take immediate action to mitigate potential risks.

Technical summary

The CVE-2026-73486 vulnerability in Flowise before 3.1.3 allows authenticated attackers to execute arbitrary Python code via the CSV Agent node's customReadCSV parameter. The vulnerability has a CVSS score of 9 and is considered critical. The validator's static regex blocklist can be bypassed through obfuscation techniques, enabling attackers to execute code in the unsandboxed pyodide environment with full system access.

Defensive priority

Authenticated attackers could execute arbitrary Python code via the CSV Agent node's customReadCSV parameter in Flowise before 3.1.3, indicating a critical vulnerability.

Recommended defensive actions

• Inventory and verify Flowise installations to identify potential exposure
• Apply vendor patches or upgrades to version 3.1.3 or later
• Implement compensating controls, such as input validation and monitoring
• Review and update security configurations for the unsandboxed pyodide environment
• Review compensating controls for exposed systems while remediation is scheduled and verified
• Check relevant monitoring, detection, and logs for exposed assets that need extra review
• Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE-2026-73486 record indicates a critical vulnerability in Flowise before 3.1.3, allowing authenticated attackers to execute arbitrary Python code. The validator uses a static regex blocklist that can be bypassed through obfuscation techniques. Evidence is limited, and further verification is needed to determine the full scope of affected systems and vendor remediation efforts.

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.