safreita1/malnet-graph
A large-scale database for graph representation learning
This project provides MalNet, the world's largest public database of function call graphs (FCGs). It takes Android APK files as input, extracts their FCGs, and classifies them across 47 types and 696 families of malicious software. Security researchers, data scientists, and malware analysts can use this to train and benchmark graph-based models for malware detection.
No commits in the last 6 months.
Use this if you are a security researcher or data scientist working on malware analysis and need a massive, diverse dataset of function call graphs to develop and test graph-based machine learning models.
Not ideal if you are looking for a simple, out-of-the-box malware detection tool rather than a dataset for research and model development.
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55
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16
Language
Python
License
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Category
Last pushed
Oct 06, 2022
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