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
- 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.
Check the 40 seconds Demo Video (v1.95)
Note: Both forks do not contain all openSquat features.
git clone https://github.com/atenreiro/opensquat pip install -r requirements.txt
Make sure you have Python 3.6+ and pip3 in your environment
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.
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
Integration with VirusTotal (VT) for subdomains validation
- Integratration with VirusTotal (VT) for malware detection
Use certificate transparency Homograph detectiondone 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
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.
- Please check the contributors page on GitHub
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
Original repository: https://github.com/atenreiro/opensquat