Flowise before 3.1.3 contains a regex-based Python code validator bypass in CSV and Airtable Agent nodes that allows unauthenticated attackers to inject malicious code via prompt injection. Attackers can exploit unblocked pandas functions like pd.read_json() to exfiltrate datasets, perform SSRF against internal services, or achieve code execution through the unauthenticated prediction API.

Flowise before 3.1.3 contains a regex-based Python code validator bypass in CSV and Airtable Agent nodes that allows unauthenticated attackers to inject malicious code via prompt injection. Attackers can exploit unblocked pandas functions like pd.read_json() to exfiltrate datasets, perform SSRF against internal services, or achieve code execution through the unauthenticated prediction API.

Ein Angreifer kann mehrere Schwachstellen in Flowise ausnutzen, um beliebigen Code auszuführen – sogar mit Root-Rechten –, erweiterte Privilegien zu erlangen, Sicherheitsmaßnahmen zu umgehen, Sitzungen zu kapern sowie Daten offenzulegen oder zu manipulieren.