Forensic Tool

DFIRTrack: (Digital Forensics and Incident Response Tracking application

DFIRTrack (Digital Forensics and Incident Response Tracking application) is an open source web application mainly based on Djangousing a PostgreSQL database backend. In contrast to other great incident response tools, which are mainly case-based and support the work of CERTs, SOCs etc. in their dail

DFIRTrack (Digital Forensics and Incident Response Tracking application) is an open source web application mainly based on Djangousing a PostgreSQL database backend.

In contrast to other great incident response tools, which are mainly case-based and support the work of CERTs, SOCs etc. in their daily business, DFIRTrack is focused on handling one major incident with a lot of affected systems as it is often observed in APT cases. It is meant to be used as a tool for dedicated incident response teams in large cases. So, of course, CERTs and SOCs may use DFIRTrack as well, but they may feel it will be more appropriate in special cases instead of every day work.

Installation and dependencies
DFIRTrack is developed for deploying on Debian Stretch or Ubuntu 16.04. Other Debian based distributions or versions may work but were not tested yet. At the moment the project will be focussed on Ubuntu LTS and Debian releases.

For fast and uncomplicated installation on a dedicated server including all dependencies an Ansible playbook and role was written (available here).

For a minimal setup the following dependencies are needed:

  • django (2.0),
  • django_q (0.9.1),
  • djangorestframework,
  • gunicorn,
  • postgresql,
  • psycopg2-binary,
  • python3-pip,
  • PyYAML,
  • requests,
  • virtualenv,
  • xlwt.

Note that there is no settings.py in this repository. This file is submitted via Ansible or has to be copied and configured by hand. That will be changed in the future (see issues for more information).

Was this article helpful?

If something here is wrong or out of date, tell us and we will check the source.

Related reading

See all
Forensic Tool

Logicytics: System Data Harvester

Logicytics is a cutting-edge tool designed to meticulously harvest and collect a vast array of Windows system data for forensic analysis. Crafted with Python 🐍, it’s an actively developed project that is dedicated to gathering as much sensitive data as possible and packaging it neatly into a ZIP fi

September 23, 2024
Forensic Tool

teler : Real-time HTTP Intrusion Detection

Teler is a real-time intrusion detection and threat alert based on a weblog that runs in a terminal with resources that we collect and provide by the community. ❤️ Features Real-time: Analyze logs and identify suspicious activity in real time. Alerting: teler provides alerting when a threat is detec

December 4, 2022
Forensic Tool

INTLog – A Flask app to Track Interesting Artifacts during an Investigation

INTLog is a simple Flask app designed to keep track of potentially interesting artifacts during an investigation. This application was designed to keep track of artifacts that you may stumble across during an investigation. This project is in an EXTREMELY early stage. Setup Setup env: INTLog » pytho

November 24, 2022
Forensic Tool

Mobile Verification Toolkit For Pegasus Infection

Mobile Verification Toolkit (MVT) is a collection of utilities to simplify and automate the process of gathering forensic traces helpful to identify a potential compromise of Android and iOS devices. It has been developed and released by the Amnesty International Security Lab in July 2021 in the con

July 21, 2021