
For nearly three decades, the release of a software patch was viewed as the definitive end to a vulnerability’s lifecycle, providing a clear signal for administrators to begin the protective process. However, the emergence of advanced machine learning models has fundamentally altered this defensive dynamic, transforming the very cure into a specialized diagnostic tool for adversaries. This phenomenon, known as










