MEAT
iOS forensics
A toolkit for acquiring and analyzing evidence from iOS devices
This toolkit aims to help forensicators perform different kinds of acquisitions on iOS devices
140 stars
9 watching
18 forks
Language: Python
last commit: over 4 years ago
Linked from 1 awesome list
dfirediscoveryforensicsincident-responseios
Related projects:
Repository | Description | Stars |
---|---|---|
| A tool to aid in forensic analysis of iOS devices | 63 |
| A digital forensics tool for analyzing macOS and iOS systems | 790 |
| A curated collection of references and resources for iOS forensics investigation | 206 |
| A digital forensic tool designed to gather and analyze data from Windows-based systems in incident response scenarios. | 335 |
| A Python-based collection of tools for gathering forensic information from Office documents | 26 |
| A collection of tools and resources for iOS penetration testing and reverse engineering | 1,047 |
| Tools to investigate potentially malicious Microsoft Excel files | 37 |
| A multi-threaded GUI forensic analysis tool for Linux | 48 |
| Analyzes and explores internal file structure of iPhones, providing detailed information about the device's contents. | 7 |
| A tool for comprehensively collecting host forensic data during incident response and analysis. | 466 |
| Tools for collecting and analyzing evidence from cloud platforms during incident response. | 467 |
| A comprehensive collection of tools and platforms for digital forensics, threat analysis, and incident response | 492 |
| A tool for decrypting iOS apps and Mach-O binaries. | 675 |
| A digital forensics framework that provides tools and parsers to analyze forensic artefacts from various disk and file formats. | 939 |
| Automated tool for collecting and uploading forensics evidence to the cloud. | 140 |