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The openSquat is an open-source tool for detecting domain look-alikes by searching for newly registered domains that might be impersonating legit domains and brands.


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Table of Contents

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

As an opensource project, everyone's welcome to contribute.

Screenshot / Video Demo

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Check the 40 seconds Demo Video (v1.95)

Demo / Forks

Note: The forks do not contain all the openSquat features.

How to Install

    git clone
    pip install -r requirements.txt

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

How to Update

⚠️ when updating: especially for a major release, re-run the pip install to check for new dependencies.

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

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

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

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

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

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

    # Conduct a certificate transparency (ct) hunt
    python --ct

    # Period search - registrations from the last month (default: day)
    python -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 -c 2

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

Automations & Integrations

You can set up openSquat to run automatically using a task scheduler (such as crontab for Linux) to generate a new list of results daily.

We update our feeds with a fresh new list of domains every day around 7.30 am (UTC+0 / GMT+0)

# Crontab example - run openSquat every day at 8 am
# In this example, the results are saved to a JSON file format
0 8 * * * /home/john/opensquat/ -k keywords.txt -o results.json -t json

You can use this output file to feed your SIEM, SOAR, or other tools that support importing from TXT/JSON/CSV formats.

Alternatively, currently in a Beta preview you can integrate using REST APIs, your application with RapidAPI

Do you have an integration idea or would like to share an integration you developed with our community? Open a GitHub issue or send me an email.

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
  • AND logical condition for keywords search (e.g: google+login) - Thanks to Steff T.
  • Enhanced documentation


How to Contribute

We welcome and encourage contributions from the community! If you're interested in helping improve openSquat, here are a variety of ways you can contribute:

  • Reporting Bugs: To report bugs, open an issue on our GitHub issues page. You should include as much detail as possible to help us understand the problem and what the ideal solution would be.
  • Feature Requests: To request a new feature, create a "new issue" and describe the feature and potential use cases. You can upvote the "issue" and contribute to the discussions if something similar already exists.
  • Code Contributions: To help advance openSquat with coding, you can look at open issues or feature requests. Be sure to fork the repository, make your changes, and submit a pull request.
  • Documentation: You can help improve documentation by fixing typos, clarifying instructions, or adding new, valuable sections.

Thank you for your interest in contributing to openSquat!


Project founder


  • 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