Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/arxsys/dff

DFF (Digital Forensics Framework) is a Forensics Framework coming with command line and graphical interfaces. DFF can be used to investigate hard drives and volatile memory and create reports about user and system activities.
https://github.com/arxsys/dff

Last synced: 29 days ago
JSON representation

DFF (Digital Forensics Framework) is a Forensics Framework coming with command line and graphical interfaces. DFF can be used to investigate hard drives and volatile memory and create reports about user and system activities.

Awesome Lists containing this project

README 

        
Digital Forensics Framework



1. Introduction



2. Installation

 2.1 Windows

 2.2 Linux

3. Usage

4. Support



1. Introduction



DFF is a simple but powerfull open source tool with a flexible module system

which will help you in your digital forensics works, including files recovery

due to error or crash, evidence research and analysis, etc. The source code is

written in C++ and Python, allowing performances and great extensibility.



Although dff is quite young, it already provides a robust architecture and

some handy modules. You could download and try it via the Dowload page. Source

code, Debian packages and even windows setup are available. Any contribution,

suggestion or remark is welcome ! (see 4. Support)



Nowadays computer forensic analysis tools are mainly large proprietary software

developed by some well-known companies.



Few free and open source tools offers the same type of fully integrated

software, most of them are implemented as stand alone tools. Although some

framework exists, they are not very user or developer friendly. That is why we

decided to develop this tool as a free and open source and multi-platform

framework.



This project follows three main goals :



- Modularity. In contrary to the monolithic model, the modular model is based on

  an a host and many modules. This modular conception presents two advantages :

  it permits to improve rapidly the software and to split easily tasks for

  developers



- Scriptability, it is obvious that the ability to be scripted gives more

  flexibility to a tool, but it enables automation and gives the possibility to

  extend features



- Genericity, the project tries to remain OS independent. We want to help people

  where they are ! Letting them choose any Operating System to use this

  software.



2. Installation



2.1 Windows



Python and Python QT have to be installed first.



Two packages are provided for Windows, one with those two dependencies add to DFF installer and an other with DFF installer alone.



Web-page where Python should be downloaded :

http://www.python.org/download/releases/2.7.1/.

Web-page where Python QT should be downloaded :

http://www.riverbankcomputing.co.uk/software/pyqt/download



DFF is provided with a Nullsoft installer. Users just have to launch it and

follow instructions to install DFF.



2.2 Linux



Using distribution package :



RPM and DEB packages are provided on http://www.digital-forensic.org. Graphical

helper from window manager can be used when double clicking on the package.



DEB installation from terminal :

#> dpkg -i dff-.deb



RPM installation from terminal 

#> rpm -i dff-.rpm



Compiling from sources :



A GZipped tarball is also provided.

Cmake and latest version of swig are needed (http://www.swig.org, developer have

to compile and install the latest version himself).

In the top-source tree type :

$> cmake -DINSTALL=TRUE .

It creates make files.

To build type :

$> make

Install :

#> make install

Console Run :

$> dff.py

Graphical Run :

$> dff.py -g



3. Usage



DFF reads a disk dump (for example from GNU 'dd' utils). Two user interfaces are

provided ; graphical and console. Command-line console also sits in graphical as

well.



Graphical :

Click on the 'File(s)' menu and select 'Open evidence file(s)', then add your

disk dump.

Right-click on the dump, in the 'Browser' tab, select 'Open with' and apply a

filesystem module ; select 'file system' and 'fat' for example.

Files appears in the 'Virtual File System' tab.

Many informations are provided under 'Task Manager', 'Output' and 'Errors' tabs.



Console :

Opening a local folder :

dff / > local --path /home/user/dumps --parent /



--path is the directory to open

--parent is a virtual node, first specify the root one : /



Applying fat module on a dump :

dff / > fat dumps/test.fat.dd



Listing nodes :

dff / > ls



Completion is provided using the  key. User can obtain help using :

dff / > man 



4. Support



Online chat is on an IRC channel : #digital-forensic on irc.freenode.net

network.



Main website : http://www.digital-forensic.org .



3 mailing lists are provided :

- User discussions about DFF : [email protected], registration and

  posting freely available.

- Developers discussions about DFF : [email protected],

  registration and posting freely available.

- News about DFF releases and event : [email protected],

  registration freely available, low level traffic.



Archives of this mailing lists : http://lists.digital-forensic.org



A project manager exists at https://tracker.digital-forensic.org , ideas and

bug submited by e-mail will be reported on it.



Documentation sits on http://wiki.digital-forensic.org.