A Python framework for combining static analysis with LLM-based bug verification
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Updated
Jun 14, 2026 - Python
A Python framework for combining static analysis with LLM-based bug verification
AI vulnerability verification demo using the Stage299 QSP/VEP Gate engine.
This project, developed with Python and PyQt6, involves creating an .exe application to verify and change vulnerability statuses, visualize results, and export new vulnerabilities.
Stage338: Behavior Decision Engine for expected-vs-actual behavior verification.
Safe Reproduction Template Library for AI vulnerability verification. Defines safe reproduction templates, expected behavior, pass/fail conditions, and safety boundaries without attack code.
REMEDA Stage327: structured reproduction evidence schema for AI vulnerability verification, target matching, SHA256 integrity binding, and third-party audit verification.
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