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)
- 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.
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- 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.
- Check the CHANGELOG file.
Project founder
- Andre Tenreiro (LinkedInk)
- [email protected]
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