An ever-growing list of resources for data-driven vulnerability assessment and prioritization
A collection of data fetchers, and simple quarterly and yearly CVE forecasting models.
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities
Reproduction package of the paper "Software Vulnerability Prediction in Low Resource Languages An Empirical Study of CodeBERT and ChatGPT" in International Conference on Evaluation andAssessment in Software Engineering (EASE) 2024
Reproduction package of the paper "Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study" in Mining Software Repositories (MSR) 2024
Reproduction package of the paper "Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?" in The International Symposium on Empirical Software Engineering and Measurement (ESEM) 2024
Correlating software engineering process metrics to software vulnerability reintroduction
AI-powered platform for vulnerability prediction in software dependencies using ensemble machine learning (Random Forest + Extra Trees). Achieves 94.9% accuracy, 100% High-risk recall, and 47-day proactive pre-CVE detection. M.Tech Cybersecurity Capstone 1 | REVA University 2025.
🔍 Predict software vulnerability trends using Multi-Recurrent Neural Networks for improved cybersecurity strategies and informed decision-making.
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