A comprehensive dark web search tool designed to identify potential data breaches and leaked personal information.

• Multiple Search Types: Search for emails, domains, phone numbers, and usernames
• Comprehensive Sources: Searches across multiple categories of dark web sources
• Real-time Progress Tracking: Visual feedback on search progress for each engine
• Risk Assessment: Automatic risk scoring of found information
• Detailed Results: Complete context for each found mention
• Secure: Uses Tor for anonymous searching
• User-friendly UI: Modern interface with clear visualization of results
• JSON Result Logging: Store search results in structured JSON format for further analysis
• Automated Scheduling: Run periodic scans on a schedule to monitor for new breaches

The Dark Web Intelligence Scanner searches across multiple categories of sources:

• General search engines: Common dark web search engines
• Breach databases: Known repositories of leaked data
• Paste sites: Sites like Pastebin where data is often shared
• Hacking forums: Communities where breached data is discussed
• Dark web marketplaces: Places where data is bought and sold
• Ransomware leak sites: Where stolen corporate data is published
• Specialized search services: Focused on specific types of dark web content

1. Ensure you have Python 3.8+ installed
2. Clone this repository
3. Install dependencies:

pip install -r requirements.txt

4. Install and configure Tor (required for accessing dark web sources)
5. Run the application:

python app.py

The Dark Web Intelligence Scanner can be configured to run periodic scans automatically.

• Manual Scheduling: Run individual scans using the command line
• Cron-based Scheduling: Set up system cron jobs for periodic scans
• Built-in Scheduler: Use the included scheduler daemon

1. Set up the scheduler daemon to run at system startup:

python setup_cron.py --setup-scheduler

2. Add scheduled scans through the scheduler:

python scheduler.py --add --query "example@email.com" --type email --frequency daily --time "03:00"

3. Alternatively, add cron jobs directly:

python setup_cron.py --add-scan --query "example@email.com" --type email --schedule daily

4. Check scheduled scan status:

python scheduler.py --status

All scan results are automatically saved in JSON format for further analysis.

• Result files are stored in the results directory
• Each file contains full context of mentions and risk assessments
• Analysis metadata is included with each result
• Results can be imported into other analysis tools

• This tool is designed for legitimate security research and personal data monitoring
• Always respect legal and ethical boundaries when using this tool
• The tool may expose you to sensitive or disturbing content
• Use with caution and only for legal purposes

• Backend: Python, Flask
• Frontend: HTML, CSS, JavaScript
• Networking: Tor for anonymous connections
• Parsing: BeautifulSoup for content extraction
• Threading: Multi-threaded for parallel searching

• No search data is stored on external servers
• Search results are only stored locally
• Personal information is never shared

This project is licensed under the MIT License - see the LICENSE file for details.

This tool is provided for educational and research purposes only. Users are responsible for ensuring their use of this tool complies with all applicable laws and regulations.

Note: To protect user privacy, all script files (.sh) and database files are excluded from the repository.