
mvt
Forensic collection and analysis toolkit for Android and iOS devices to identify potential compromise by known spyware using public and private…

Forensic collection and analysis toolkit for Android and iOS devices to identify potential compromise by known spyware using public and private…

Automated mobile application security testing framework for Android, iOS, and Windows. Performs static and dynamic analysis, malware detection, and…

Command-line and GUI tool for decompiling Android Dex and APK files into readable Java source code, with resource decoding, deobfuscation, and Smali…

Reverse engineering and pentesting for Android applications

Main repo for hosting release binaries

A Android malware analysis tool that creates comprehensive runtime profiles by hooking into application behavior across cryptography, file systems,…

Free hands-on digital forensics labs for students and faculty

Graphical forensic toolkit for parsing, decrypting, and extracting WhatsApp data from Android and iOS devices, including Google Drive and iCloud…

Collaborative forensic timeline analysis platform for ingesting, searching, and annotating event logs to support incident response and DFIR…


Comprehensive OWASP guide for mobile app security testing, reverse engineering, and verifying MASVS/MASWE weaknesses through static, dynamic, and…

Digital Forensics Guide. Learn all about Digital Forensics, Computer Forensics, Mobile device Forensics, Network Forensics, and Database Forensics.

QCSuper is a tool communicating with Qualcomm-based phones and modems, allowing to capture raw 2G/3G/4G radio frames, among other things.

Forensic Analysis for Mobile Apps (FAMA) -- module for the Autopsy Forensic Browser

Collect, Process, and Hunt with host based data from MacOS, Windows, and Linux

Utility for recovering ES File Explorer encrypted files (.eslock)

the fastest and most powerful android decompiler(native tool working without Java VM) for the APK, DEX, ODEX, OAT, JAR, AAR, and CLASS file. which…

Extract a concerning amount of user information from Unisoc ZTE devices using CVE-2022-38694.