Vulnerability Type

Vulnerability type research focuses on identifying and classifying software weaknesses, aiming to improve automated detection and remediation. Current efforts concentrate on developing machine learning models, including graph neural networks, recurrent neural networks, and support vector machines, to analyze code features and predict vulnerability types, often incorporating natural language processing techniques for code understanding. These advancements are crucial for enhancing software security by enabling more efficient vulnerability detection and potentially facilitating automated repair, though challenges remain in achieving high accuracy and explainability across diverse vulnerability types and software projects.