AI Sec Watch: A Security Intelligence Platform for AI Systems

Luu, T.J.

LangChain path traversal bug adds to input validation woes in AI pipelines

highnews

security

Source: CSO OnlineMarch 30, 2026

Summary

LangChain and LangGraph, popular AI frameworks that connect AI to business systems, have critical security flaws that allow attackers to steal sensitive data like API keys and files through improper input handling. The newest vulnerability is a path traversal bug (CVE-2026-34070, a CVSS 7.5 severity rating measuring how serious a flaw is) where attackers can read files by crafting malicious input, while two older flaws enable data theft through unsafe deserialization (treating untrusted data as safe) and SQL injection (manipulating database queries). The maintainers have released fixes that need to be applied immediately to prevent exploitation.

Solution / Mitigation

The source explicitly recommends the following mitigations: For path traversal, enforce allowlists for file access and restrict directory boundaries. For deserialization vulnerabilities, avoid unsafe deserialization methods and ensure only validated, expected data structures are processed. For SQL injection, use parameterized queries (pre-structured database requests that safely handle user input) and strengthen input sanitization. The source notes that fixes from the tools' maintainers are now available but must be applied immediately across integrations.