Xmal is a novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile. It allows users to identify the malware as well as point out the malicious behavior. You can understand why an Android application is classified as malware, thus you can directly generate an analysis report of the malware or you can further analyse the malware accordingly.
We have some documentation on Xmal in our wiki. You probably would like to read this README first and then have a look on Xmal's project directory and paper(https://arxiv.org/abs/2004.11516) as well.
You are using Xmal and would like to help us in the future? Then please send us an email (wubozhi@pku.edu.cn).
By giving us feedback you help to decide in what direction Xmal should stride in the future and give us clues about our user base. Thank you very much!