There are 27 repositories under android-malware topic.
Android virtual machine and deobfuscator
A curated list of Android Security materials and resources For Pentesters and Bug Hunters
A multifunctional Telegram based Android RAT without port forwarding.
A multifunctional Android RAT with GUI based Web Panel without port forwarding.
:india: :robot: It's easy to use android botnet work without port forwarding, vps and android studio
A pattern based Dalvik deobfuscator which uses limited execution to improve semantic analysis
SARA - Simple Android Ransomware Attack
Android Security Resources.
A large repository of malware samples with 2500+ malware samples & source codes for a variety of platforms by Cryptware Apps.
ANDROID BOTNET | ANDROID RAT | EASY TO USE | EASY TO CONTROL | WITHOUT ROOT | REMOTELY CONTROL ANDROID 2022
Popular Android malware datasets
Papers, code and datasets about deep learning for Android malware defenses and malware detection
Drebin - NDSS 2014 Re-implementation
A Kotlin Android library that opens a persistent binary SMS backdoor with the ability to define your own remote command handler.
Android Malware Samples
An Android app which attempts to prevent you from using your device without becoming the administrator.
Android Malware Detection Using Machine Learning Classifiers ( Using Permissions requested by Apps)
A Kotlin Android library for forensics evasion & heuristics evasion that prevents your code from being tested.
Android malware source code dataset collected from public resources.
android virus to annoy your friends
Android Malware Detection Using Machine Learning Project with Source Code and Documents Plus Video Explanation
Java-layer Android Malware Simplifier
Detection of Android Malware based on system calls using Support Vector Machines.
A machine learning based Android malware detection model.
A simple android ransomeware tool built in python
bluepill for arm64 linux via hijacking kvm (work in progress)
Phenax is an open source framework to test Android applications whether they are malicious or not. Using a tool called GroddDroid and machine learning algorithms this framework repeatedly runs a number of goodware and malware applications forcing a different execution path in each application in each run.
G700RAT V3.5
This project provides insights into how ransomware operates without the need to install any applications.
Analysis of Android malware families using available source code.
This application is a small demonstration of a malware that intercepts SMS made in Kotlin to send to the target server
Deep Learning Research