Darkweb Downloader Ultimate Edition
Securely and anonymously download files from the dark web using Tor, with real-time download progress tracking and activity logging.
This Python script facilitates the anonymous downloading of files from URLs listed in a urls.txt file through the Tor network. The script ensures privacy by routing requests through Tor and provides real-time progress updates on the downloads, including download speed and percentage completion. This form handles multi-threaded downloads, zero byte file handling, and randomly timed retry queue to avoid givin up to quickly. Retries are set at 25, with a random number up to 300 seconds as a diff to avoid pattern blocking by the thread actors.
Features
- Anonymity: Uses Tor to anonymize your internet traffic.
- Progress Tracking: Real-time download speed with download time, size, and speed.
- Logging: Detailed logs of all successful and failed download activities.
- User-Agent Customization: Sends requests with a generic Mozilla user-agent to mimic typical user traffic.
Prerequisites
Before running this script, make sure you have the following installed:
- Python 3.x
- Tor Browser or a standalone Tor service
Dependencies
This script requires several Python libraries:
requestsPySocks(orsocksdepending on your environment)tqdm
Installation
- Clone the Repository:
git clone https://github.com/alenperic/Darkweb-Downloader-Ultimate.git cd DarkWeb-Downloader-Ultimate
- Install Required Libraries:
pip install -r requirements.txt
- Configure Tor: Ensure that Tor is running and configured to accept connections through a SOCKS proxy (default is
localhost:9150for Tor Browser). - Set Up Configuration Files: Edit the
urls.txtfile to include the URLs you wish to download files from.
Usage
Add links to be downloaded to the urls.txt file. Run the script using:
python download.py
The files will be downloaded to the downloaded_files directory, and progress will be shown in the command line interface.
Contributing
Contributions to this project are welcome. Please fork the repository and submit a pull request.
CREDITS: alenperic/Darkweb-Downloader for the orginal code and inspiration!
!