Langflow — Vulnerabilities & Security Advisories 43

This page provides a comprehensive aggregation of security vulnerabilities affecting Langflow, an open-source framework designed for building generative AI applications. It focuses on tracking Common Weakness Enumerations (CWEs) and Common Vulnerabilities and Exposures (CVEs) associated with this specific software product. The vulnerability database here collects data spanning multiple years, capturing both historical and recent security incidents. It includes flaws related to authentication bypass, injection attacks, improper access control, and insecure configuration settings that may arise from the integration of various AI components or the underlying infrastructure. The scope covers issues identified in the core framework as well as those linked to its extension ecosystem. By reviewing this aggregated data, security professionals and developers can track Langflow’s vendor advisories to stay informed about critical patches and mitigation strategies. Users can also gain a deeper understanding of specific weakness classes prevalent in similar AI-driven software by analyzing patterns in the reported bugs. Furthermore, the page allows for a detailed lookup of Langflow’s vulnerability history, enabling teams to assess risk exposure, compare severity levels, and prioritize remediation efforts based on real-world exploitation data and community feedback. This resource serves as a centralized reference for understanding the security posture of Langflow over time.