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

Security researchers discovered three vulnerabilities in LangChain and LangGraph, widely used open-source frameworks for building AI applications, that could expose sensitive files, environment secrets (like API keys), and conversation histories if exploited. The flaws include a path traversal vulnerability (allows access to files without permission), a deserialization vulnerability (tricks the app into exposing secrets), and an SQL injection vulnerability (lets attackers manipulate database queries). These vulnerabilities affect millions of weekly downloads across enterprise systems.