AI frameworks face critical security vulnerabilities

Multiple popular AI agent frameworks, including Langflow, LangGraph, and LangChain, are susceptible to severe security vulnerabilities. These flaws, ranging from SQL injection to path traversal, can allow attackers to gain remote code execution and access sensitive credentials like API keys and database tokens. Langflow is currently under active attack, with thousands of instances exposed. The vulnerabilities stem from insecure defaults and a lack of security governance in these rapidly adopted tools, highlighting a critical gap in traditional security scanning methods that fail to inspect the internal workings of imported frameworks.