Features

• Scan URLs using VirusTotal and URLScan.io APIs
• Retrieve WHOIS information for the analyzed domains
• Save the combined analysis results to numbered output files
• Interact with the Twitter API to post tweets containing the analysis results or custom text
• User-friendly command-line interface

Repository Structure

• controller.py: The main entry point of the application, handling user input, coordinating the execution of various modules, and providing the user interface.
• output_module.py: Handles the formatting and saving of analysis results to output files in the outputs directory.
• twitter_module.py: Allows users to interact with the Twitter API to post tweets containing analysis results or custom text.
• urlscan_module.py: Interacts with the URLScan.io API to submit URLs for scanning and retrieve the scan results.
• virustotal_module.py: Interacts with the VirusTotal API to scan URLs and retrieve the analysis results.
• whois_module.py: Fetches WHOIS information for a given domain.
• configs/: Directory containing configuration files with API keys for VirusTotal, URLScan.io, and Twitter.
• outputs/: Directory where the analysis results are saved as numbered text files.

Usage

1. Clone the repository or download the source code.
2. Install the required Python packages by running pip install -r requirements.txt.
3. Obtain API keys for VirusTotal, URLScan.io, and Twitter, and create configuration files in the configs directory with the respective API keys.
4. Run the controller.py script.
5. Follow the prompts to enter a URL for scanning, tweet the results, or scan another URL.

Configuration Files

The tool requires API keys for VirusTotal, URLScan.io, and Twitter. These keys should be stored in separate JSON files in the configs directory with the following structure:

• virustotal_config.json:
  json { "api_key": "your_virustotal_api_key" }

• urlscan_config.json:
  json { "api_key": "your_urlscan_api_key" }

• twitter_config.json:
  json { "consumer_key": "your_twitter_consumer_key", "consumer_secret": "your_twitter_consumer_secret", "access_token": "your_twitter_access_token", "access_token_secret": "your_twitter_access_token_secret" }

Output Files

The analysis results are saved as numbered text files in the outputs directory. Each file contains the following information:

• Scanned URL
• Domain
• Registrar
• Creation and expiration dates
• Threat types
• IP addresses and countries associated with the URL
• Scan date
• Screenshot URL
• VirusTotal and URLScan.io report URLs

Dependencies

This project requires the following Python libraries:

• requests
• tweepy
• python-whois

Install these dependencies by running pip install -r requirements.txt before running the application.

Contributing

Contributions to this project are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request. Follow the standard GitHub workflow for contributions.

License

This project is licensed under the MIT License. See the LICENSE file for more details.