action-ai-institute/MABEL-dataset
MABEL: Malware Analysis Benchmark for Artificial Intelligence and Machine Learning
This project provides a dataset for cybersecurity analysts and researchers focused on malware detection and classification. It offers a collection of detailed analysis reports for over 400 malware families, with each record containing extensive metadata and deep inspection results of binary disassemblies. Security researchers and data scientists can use this to train machine learning models to identify new malware or classify existing threats.
Use this if you need a rich, pre-analyzed dataset of malware characteristics to develop or benchmark AI/ML models for cybersecurity.
Not ideal if you are looking for raw malware samples, a real-time threat intelligence feed, or a tool to perform live malware analysis.
Stars
31
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3
Language
—
License
MIT
Category
Last pushed
Oct 15, 2025
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