https://github.com/fit-project/fit
FIT is a modular suite of Python applications for digital forensic acquisition of online contents such as web pages, emails, social media, and more. Each module can run independently or as part of the full FIT suite.
https://github.com/fit-project/fit
forensics forensics-tools pyqt6-desktop-application python3
Last synced: 30 days ago
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FIT is a modular suite of Python applications for digital forensic acquisition of online contents such as web pages, emails, social media, and more. Each module can run independently or as part of the full FIT suite.
- Host: GitHub
- URL: https://github.com/fit-project/fit
- Owner: fit-project
- License: gpl-3.0
- Created: 2023-01-18T15:34:23.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2025-10-23T15:29:14.000Z (5 months ago)
- Last Synced: 2025-10-23T17:35:39.410Z (5 months ago)
- Topics: forensics, forensics-tools, pyqt6-desktop-application, python3
- Language: Python
- Homepage:
- Size: 17.1 MB
- Stars: 87
- Watchers: 5
- Forks: 10
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- ForensicsTools - Freezing Internet Tool - Python 3 application for forensic acquisition of online content, including web pages, emails, and social media. (Challenges / Website Forensics)
- awesome-forensics - FIT - Forensic acquisition of web pages, emails, social media, etc. (Tools / Acquisition)
README
# Freezing Internet Tool
`FIT` is a Python3 application for forensic acquisition of contents like web pages, emails, social media, etc. directly from the internet.
It's based on **Fabio Zito @zitelog** [final exam](https://github.com/zitelog/fit) for a Master named in Cybersecurity, Digital Forensics and Data Protection where the relator was Prof. Giovanni Bassetti **@nannib**.
For the implementation:
* MVC Pattern
* Python Language
* [Qt](https://www.qt.io/download-open-source) as graphical user interface and Web Engine
* Scapy for packet capture
* [Qt Multimedia](https://doc.qt.io/qt-6/qtmultimedia-index.html) for screen video and audio recording. For more information about audio recording, refer to the [guide](https://github.com/fit-project/fit/wiki/Screen-recording-audio-management)
* SQLite and SQLAlchemy for persistence
## Suggestions
On PCs with Windows OS it is strongly recommended to install [NPCAP](https://npcap.com/dist/) otherwise it will not be possible to capture the network traffic and to excute traceroute. Do not install WinPCAP because they have been deprecated.
## Downloading Portable Version
If you want download FIT portable version click [here](https://github.com/fit-project/fit/releases/latest) (for the moment just for windows ).
## Cloning the github repository
```
git clone git@github.com:fit-project/fit.git fit
```
This will clone the latest version of the FIT repository to a **fit** folder.
## Install
Once you've downloaded FIT and installed all the prerequisites:
* go in fit folder:
```
cd fit
```
* If you don't have [poetry](https://python-poetry.org/), install it (below its showed windows Powershell):
```
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
```
* install the dependencies:
```
poetry install
```
## Running FIT
Run your application:
```
poetry run python fit.py
```