LangChain, LangGraph Flaws Expose Files, Secrets, Databases in Widely Used AI Frameworks

Critical security vulnerabilities discovered in LangChain and LangGraph, two widely-used AI development frameworks, could allow attackers to access sensitive files, environment secrets, and conversation histories. Given the widespread adoption of these frameworks in AI applications, the vulnerabilities represent a significant security risk across the AI ecosystem.