A Python framework for combining static analysis with LLM-based bug verification
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Updated
May 14, 2026 - Python
A Python framework for combining static analysis with LLM-based bug verification
This project, developed with Python and PyQt6, involves creating an .exe application to verify and change vulnerability statuses, visualize results, and export new vulnerabilities.
AI vulnerability verification demo using the Stage299 QSP/VEP Gate engine.
REMEDA Stage327: structured reproduction evidence schema for AI vulnerability verification, target matching, SHA256 integrity binding, and third-party audit verification.
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