openSquat

What is openSquat

openSquat is an opensource Intelligence (OSINT) security tool to identify cyber squatting threats to specific companies or domains, such as:

• Phishing campaigns
• Domain squatting
• Typo squatting
• Bitsquatting
• IDN homograph attacks
• Doppenganger domains
• Other brand/domain related scams

It does support some key features such as:

• Automatic newly registered domain updating (once a day)
• Levenshtein distance to calculate word similarity
• Fetches active and known phishing domains (Phishing Database project)
• IDN homograph attack detection
• Integration with VirusTotal
• Integration with Quad9 DNS service
• Use different levels of confidence threshold to fine tune
• Save output into different formats (txt, JSON and CSV)
• Can be integrated with other threat intelligence tools and DNS sinkholes

This is an opensource project so everyone's welcomed to contribute.

Screenshot / Video Demo

Check the 40 seconds Demo Video (v1.95)

Web Demo

Please check Phishy Domains for a simple version of the openSquat.

How to Install

    git clone https://github.com/atenreiro/opensquat
    pip install -r requirements.txt

Make sure you have Python 3.6+ and pip3 in your environment

How to Update

To update your current version, just type the following commands inside the openSquat directory:

    git pull
    pip install -r requirements.txt

The "pip install" is just to make sure no new libs were added with the new upgrade.

Usage Examples

Edit the "keywords.txt" with your customised keywords to hunt.

    # Lazy run with default options
    python opensquat.py

    # for all the options
    python opensquat.py -h
    
    # Search for generic terms used in phishing campaigns (can lead to false positives)
    python opensquat.py -k generic.txt

    # With DNS validation (quad9)
    python opensquat.py --dns
    
    # Subdomain search
    python opensquat.py --subdomains
    
    # Check for domains with open ports 80/443
    python opensquat.py --portcheck

    # With Phishing validation (Phishing Database)
    python opensquat.py --phishing phish_results.txt

    # Save output as JSON
    python opensquat.py -o example.json -t json

    # Save output as CSV
    python opensquat.py -o example.csv -t csv

    # Conduct a certificate transparency (ct) hunt
    python opensquat.py --ct

    # Period search - registrations from the last month (default: day)
    python opensquat.py -p month

    # Tweak confidence level. The lower values bring more false positives
    # (0: very high, 1: high (default), 2: medium, 3: low, 4: very low
    python opensquat.py -c 2

    # All validations options
    python opensquat.py --phishing phishing_domains.txt --dns --ct --subdomains --portcheck 

To Do / Roadmap

• Integration with VirusTotal (VT) for subdomains validation
• Integratration with VirusTotal (VT) for malware detection
• Use certificate transparency
• Homograph detection done
• Improve code quality from B to A grade (codacy)
• PEP8 compliance
• Add documentation

Feature Request

To request for a new feature, create a "new issue" and describe the feature and potential use cases. If something similar already exists, you can upvote the "issue" and contribute to the discussions.

Changelog

• Check the CHANGELOG file.

Authors

Project founder

• Andre Tenreiro (LinkedInk)
• [email protected]

Contributors

• Please check the contributors page on GitHub

How to help

You can help this project in many ways:

• Providing your time and coding skills to enhance the project
• Build a decent but simple project webpage
• Provide access to OSINT feeds
• Open new issues with new suggestions, ideas, bug report or feature requests
• Spread this project within your network
• Share your story how have you been using the openSquat and what impact it brought to you
• Make a project logo