EC-DIGIT-CSIRC / sysdiagnose

Forensic toolkit for iOS sysdiagnose feature

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Sysdiagnose analysis framework

Installation

Note that you will need Python 3.6 or higher.

Create a virtual environment:

 virtualenv --python python3.10 venv
 source venv/bin/activate

Install dependencies:

pip install -r requirements.txt
sudo apt install graphviz

Quickstart

Add new sysdiagnose case

$ python initialyze.py file test-data/iOS12/sysdiagnose_2019.02.13_15-50-14+0100_iPhone_OS_iPhone_16C101.tar.gz 
d280f515593b3570a781890296b2a394b3dffc298212af0d195765a7cf1cd777
Sysdiagnose file has been processed
New case ID: 1

List available parsers and cases

$ python parsing.py list parsers
Parser Name      Parser Description                Parser Input
---------------  --------------------------------  --------------
sysdiagnose-ps   Parsing ps.txt file               ps
sysdiagnose-sys  Parsing SystemVersion plist file  systemversion

$ python parsing.py list cases
#### case List ####
  Case ID  Source file                                                                          SHA256
---------  -----------------------------------------------------------------------------------  ----------------------------------------------------------------
        1  test-data/iOS12/sysdiagnose_2019.02.13_15-50-14+0100_iPhone_OS_iPhone_16C101.tar.gz  d280f515593b3570a781890296b2a394b3dffc298212af0d195765a7cf1cd777

Run parsers

$ python parsing.py parse sysdiagnose-ps 1
Execution success, output saved in: ./parsed_data/1/sysdiagnose-ps.json

$ python parsing.py parse sysdiagnose-sys 1
Execution success, output saved in: ./parsed_data/1/sysdiagnose-sys.json

Tested On:

  • python 3.8.5, 3.10
  • iOS13
  • iOS14
  • iOS16
  • iOS17

Timesketch

You might want to visualise timelines which you can extract via sysdiagnose in Timesketch. Note that for a reasonable sysdiagnose log output, we recommend the following base requirements:

  • Ubuntu 20.04 or higher
  • 128GB of RAM
  • 4-8 virtual CPUs
  • Minimum 64 GB of HDD space just for timesketch data (add some more GBs for the OS and OS upgrades, etc.)
  • SSDs (NVMEs) for the data.

Contributors

  • David DURVAUX (European Commission - EC DIGIT Cybersecurity Operation Centre)
  • Aaron KAPLAN (European Commission - EC DIGIT Cybersecurity Operation Centre)
  • Emilien Le Jamtel (CERT-EU)

License

This project is released under the European Public Licence https://commission.europa.eu/content/european-union-public-licence_en

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Forensic toolkit for iOS sysdiagnose feature

License:European Union Public License 1.2


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Language:Python 100.0%