Cybervulnerability Exploitability Classifier (2022)

For my final thesis for my Computer Science degree, I trained various machine learning models with gathered CVE (Common Vulnerabilities and Exposures) data to predict the potential exploitability of cybervulnerabilities.

This Python-implemented project aims to help companies prioritize which cybervulnerabilities they should address first, given their likelihood of being exploited. It represents a practical application of machine learning in the field of cybersecurity. You can find the code here.