mainMobius Forensic Toolkit - Summary

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Id: #9634
System Name: mobiusft
Name: Mobius Forensic Toolkit
Group Type: non-GNU software and documentation

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This project is not part of the GNU Project.

Mobius Forensic Toolkit is a 2nd generation open-source forensic framework and toolkit written in C++ and Python/GTK that manages cases and case items, providing an abstract interface for developing extensions. Data storage is done using both Sqlite databases and XML files, for easy integration with other tools. Mobius Forensic Toolkit supports both imagefiles (raw, split, ewf, talon, solo, dossier, msr) and physical devices as input sources.

Registration Date: Sat 05 Jan 2008 08:18:44 PM UTC
License: GNU General Public License v2 or later
Development Status: 5 - Production/Stable


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Mobius Forensic Toolkit v1.16 released
     posted by aguiar, Sat 12 Oct 2019 03:19:38 PM UTC - 0 replies
  • Turing: Retrieves old password hashes from CREDHIST files (up to Win 8.1)
  • Turing: Retrieves passwords from Chromium based browsers (Chrome, Opera, ...) (up to Win 8.1)
  • Turing: Retrieves passwords from Windows Credentials (up to Win 8.1) ...

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Mobius Forensic Toolkit v1.15 released
     posted by aguiar, Thu 15 Aug 2019 04:12:30 PM UTC - 0 replies

Mobius Forensic Toolkit v1.15 has been released.

Main changes are:

  • DPAPI decryption implemented
  • Turing: Automatically decrypts DPAPI system master keys
  • Turing: Automatically decrypts Win WiFi passwords
Mobius Forensic Toolkit v1.14 released
     posted by aguiar, Tue 02 Jul 2019 07:12:11 PM UTC - 0 replies

  * Added native support for .vhd image files
  * Spider: Added support for Opera
  * Spider: Added support for GeckoFX
  * Case Model: New class application
  * Case Model: New class profile
  * Case Model: New class cookie

Mobius Forensic Toolkit v1.13 released
     posted by aguiar, Sat 08 Jun 2019 05:40:23 PM UTC - 0 replies

  * Case Model: New class password
  * Case Model: New class password_hash
  * Turing: Export .hashcat hash files
  * Turing: Export .john with RID, GID and GECOS fields filled
  * Turing: Using persistence layer from Case Model
  * Libmobius: Turing API on demand connection to database
  * Many minor improvements and bug fixes done

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