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MEAT - This Toolkit Aims To Help Forensicators Perform Different Kinds Of Acquisitions On iOS Devices

Description

[![](https://1.bp.blogspot.com/-RTW8PUlrFrQ/YSMaBCBEYSI/AAAAAAAAtPo/NxxB1yPv0GM14MqVQHwfu7Am78MIWK4ywCNcBGAsYHQ/w620-h640/MEAT.PNG)](<https://1.bp.blogspot.com/-RTW8PUlrFrQ/YSMaBCBEYSI/AAAAAAAAtPo/NxxB1yPv0GM14MqVQHwfu7Am78MIWK4ywCNcBGAsYHQ/s948/MEAT.PNG>) **M.E.A.T. - Mobile Evidence Acquisition Toolkit** Meet M.E.A.T! From Jack Farley - [BlackStone Discovery](<https://www.blackstonediscovery.com/> "BlackStone Discovery" ) This [toolkit](<https://www.kitploit.com/search/label/Toolkit> "toolkit" ) aims to help forensicators perform different kinds of acquisitions on iOS devices (and [Android](<https://www.kitploit.com/search/label/Android> "Android" ) in the future). **Requirements to run from source** * Windows or Linux * Python 3.7.4 or 3.7.2 * Pip packages seen in requirements.txt **Types of Acquisitions Supported** **iOS Devices** **Logical** Using the logical acquisition flag on MEAT will instruct the tool to extract files and folders accessible through AFC on jailed devices. The specific folder that allows [access](<https://www.kitploit.com/search/label/Access> "access" ) is: \private\var\mobile\Media, which includes fodlers such as: * AirFair * Books * DCIM * Downloads * general_storage * iTunes_Control * MediaAnalysis * PhotoData * Photos * PublicStaging * Purchases * Recordings **Filesystem** **iOS Device Prerequisites** * Jailbroken iOS Device * AFC2 Installed via Cydia Using the filesystem acquisition flag on MEAT will instruct the tool to start the AFC2 service and copy all files and fodlers back to the host machine. This method requires the device to be jailbroken with the following package installed: * Apple File Conduit 2 This method can also be changed by the user using the -filesystemPath flag to instruct MEAT to only extract up a specified folder, useful if you're doing app [analysis](<https://www.kitploit.com/search/label/Analysis> "analysis" ) and only want the app data. **MEAT Help** usage: MEAT.py [-h] [-iOS] [-filesystem] [-filesystemPath FILESYSTEMPATH] [-logical] [-md5] [-sha1] -o OUTPUTDIR [-v] MEAT - Mobile Evidence Acquisition Toolkit optional arguments: -h, --help show this help message and exit -iOS Perform Acquisition on iOS Device -filesystem Perform Filesystem Acquisition - -filesystemPath FILESYSTEMPATH Path on target device to acquire. Only use with --filesystem argument Default will be "/" -logical Perform Logical Acquisition iOS - Uses AFC to gain access to jailed content -md5 Hash pulled files with the MD5 Algorithm. Outputs to Hash_Table.csv -sha1 Hash pulled files with the SHA-1 Algorithm. Outputs to Hash_Table.csv -o OUTPUTDIR Directory to store results -v increase output verbosity **Devices tested on** iPhone X iOS 13.3 iPhone XS iOS 12.4 **Known issues** * Folder timestamp preservation * Can't preserve birth time of files on Linux only * iOS 9 bugs - Don't have device so can't test directly **Things to do in the future - Ranked** * Add post processors * Add ability to containerize - ZIP, TAR, AFF4 * I tried to containerize while processing, but zipfile and tar don't allow me to keep appending blocks to individual files * Add keyword searching while processing or after * Add hash matching while processing or after * Add Android support (Some code can already do this, but I don't have a device to test on) * Add ability for the user to specify block device for android physical acquisitions * Add support for iTunes backups * Add MacOS support (message me if you want this!) **Special Thanks** * BlackStone Discovery * [pymobiledevice](<https://github.com/iOSForensics/pymobiledevice/tree/master/pymobiledevice> "pymobiledevice" ) * Mathieu Renard for fixing the iOS 13 bug * Thanks W.E. **[Download MEAT](<https://github.com/jfarley248/MEAT> "Download MEAT" )**