Android-Malware-Sandbox
Malware analysis tool
A tool designed to analyze and sandbox Android malware by injecting hooks into the application's behavior.
Android Malware Sandbox
281 stars
16 watching
54 forks
Language: JavaScript
last commit: about 2 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 maaaaz/androwarn | Analyze Android app malice and detect malicious behaviors | 485 |
 hynekpetrak/malware-jail | Sandbox for analyzing and understanding JavaScript malware | 465 |
 droidefense/engine | An Android malware analysis framework that generates detailed reports on executable code behavior | 476 |
 zhengmin1989/droidanalytics | An Android malware analysis system designed to collect and analyze malware signatures using machine learning techniques. | 29 |
 inquest/sandboxapi | An API to integrate with various malware sandboxes for analysis and scoring | 138 |
 udcide/udcide | Tool for analyzing and modifying Android malware behaviors to aid in security analysis and investigation | 34 |
 maldroid/maldrolyzer | A framework to analyze and extract data from Android malware, providing actionable information about malicious code. | 102 |
 nwinternights/cuckoo_boxjs | Automated malware analysis system | 4 |
 pjlantz/droidbox | Analyzes Android app behavior to detect security vulnerabilities and malicious activities | 761 |
 diogo-fernan/malsub | A Python framework that provides an API interface to multiple online services for analyzing malware and threat intelligence | 368 |
 spiderlabs/malware-analysis | A collection of tools and scripts for analyzing malware | 245 |
 withsecureopensource/see | An environment for building secure and isolated test automation frameworks for analyzing and testing malware | 816 |
 nbeede/boombox | A tool for creating and deploying a virtual malware analysis environment using Cuckoo Sandbox and Windows 10. | 235 |
 joesecurity/jbxapi | Provides an API wrapper to interact with the Joe Sandbox API for analyzing malicious files. | 64 |
 mayachitra-inc/malex | A curated dataset and feature extraction method for malware detection using image-based machine learning classification. | 42 |