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)

Demo / Forks

Phishy Domains for a simple web version of the openSquat.
openSquat Bot for a simple Telegram bot.

Note: Both forks do not contain all openSquat features.

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~~
AND logical condition for keywords search (e.g: goole+login) - Thanks to Steff T.
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)
andre@cert.mz

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

coolrb/opensquat