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

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M.E.A.T. - Mobile Evidence Acquisition Toolkit

Meet M.E.A.T!

From Jack Farley - BlackStone Discovery

This toolkit aims to help forensicators perform different kinds of acquisitions on iOS devices (and 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 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 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 Mathieu Renard for fixing the iOS 13 bug Thanks W.E.

MEAT - This Toolkit Aims To Help Forensicators Perform Different Kinds Of Acquisitions On iOS Devices MEAT - This Toolkit Aims To Help Forensicators Perform Different Kinds Of Acquisitions On iOS Devices Reviewed by Zion3R on 8:30 AM Rating: 5

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