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.
Check the 40 seconds Demo Video (v1.95)
Please check Phishy Domains for a simple version of the openSquat.
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 transparencyHomograph detectiondoneImprove code quality from B to A grade (codacy)PEP8 compliance- 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.
- Check the CHANGELOG file.
Project founder
- Andre Tenreiro (LinkedInk)
- andre@cert.mz
Contributors
- 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