See what sort of trouble users can get in trying to type your domain name. Find similar-looking domains that adversaries can use to attack you. Can detect typosquatters, phishing attacks, fraud and corporate espionage. Useful as an additional source of targeted threat intelligence.
The idea is quite straightforward: dnstwist takes in your domain name as a seed, generates a list of potential phishing domains and then checks to see if they are registered. Additionally it can test if the mail server from MX record can be used to intercept misdirected corporate e-mails and it can generate fuzzy hashes of the web pages to see if they are live phishing sites.
- Wide range of efficient domain fuzzing algorithms
- Internationalized domain names (IDN)
- Multithreaded job distribution
- Resolves domain names to IPv4 and IPv6
- Queries for NS and MX records
- Evaluates web page similarity with fuzzy hashes to find live phishing sites
- Tests if MX host (mail server) can be used to intercept misdirected e-mails
- Generates additional domain variants using dictionary files
- GeoIP location information
- Grabs HTTP and SMTP service banners
- WHOIS lookups for creation and modification date
- Optional output in CSV and JSON format
Ubuntu Linux is the primary development platform. If running Ubuntu 15.04 or newer, you can install dependencies like this:
$ sudo apt-get install python-dnspython python-geoip python-whois \ python-requests python-ssdeep python-cffi
Alternately, you can use Python tooling. This can be done within a virtual environment to avoid conflicts with other installations. However, you will still need a couple of libraries installed at the system level.
$ sudo apt-get install libgeoip-dev libffi-dev $ BUILD_LIB=1 pip install -r requirements.txt
Now it is fully equipped and ready for action.
If you're on a Mac, you can install dnstwist via Homebrew like so:
$ brew install dnstwist
This is going to install
dnstwist only, along with all
requirements mentioned above. The usage is the same, you can just omit the
file extension, and the binary will be added to
If you use Docker, you can build a local copy:
$ docker build -t dnstwist .
Then run that local image:
$ docker run dnstwist example.com
You can find community maintained images if you don't want to build locally.
How to use
To start, it's a good idea to enter only the domain name as an argument. The tool will run it through its fuzzing algorithms and generate a list of potential phishing domains with the following DNS records: A, AAAA, NS and MX.
$ dnstwist.py example.com
Usually generated list of domains has more than a hundred of rows - especially for longer domain names. In such cases, it may be practical to display only registered (resolvable) ones using --registered argument.
$ dnstwist.py --registered example.com
Manually checking each domain name in terms of serving a phishing site might be time consuming. To address this, dnstwist makes use of so called fuzzy hashes (context triggered piecewise hashes). Fuzzy hashing is a concept which involves the ability to compare two inputs (in this case HTML code) and determine a fundamental level of similarity. This unique feature of dnstwist can be enabled with --ssdeep argument. For each generated domain, dnstwist will fetch content from responding HTTP server (following possible redirects) and compare its fuzzy hash with the one for the original (initial) domain. The level of similarity will be expressed as a percentage. Please keep in mind it's rather unlikely to get 100% match for a dynamically generated web page, but each notification should be inspected carefully regardless of the percentage level.
$ dnstwist.py --ssdeep example.com
In some cases phishing sites are served from a specific URL. If you provide a full or partial URL address as an argument, dnstwist will parse it and apply for each generated domain name variant. This ability is obviously useful only in conjunction with fuzzy hashing feature.
$ dnstwist.py --ssdeep https://example.com/owa/ $ dnstwist.py --ssdeep example.com/crm/login
Very often attackers set up e-mail honey pots on phishing domains and wait for mistyped e-mails to arrive. In this scenario, attackers would configure their server to vacuum up all e-mail addressed to that domain, regardless of the user it was sent towards. Another dnstwist feature allows to perform a simple test on each mail server (advertised through DNS MX record) in order to check which one can be used for such hostile intent. Suspicious servers will be marked with SPYING-MX string.
Please be aware of possible false positives. Some mail servers only pretend to accept incorrectly addressed e-mails but then discard those messages. This technique is used to prevent a directory harvest attack.
$ dnstwist.py --mxcheck example.com
Not always domain names generated by the fuzzing algorithms are sufficient. To generate even more domain name variants please feed dnstwist with a dictionary file. Some dictionary samples with a list of the most common words used in targeted phishing campaigns are included. Feel free to adapt it to your needs.
$ dnstwist.py --dictionary dictionaries/english.dict example.com
Apart from the default nice and colorful text terminal output, the tool provides two well known and easy to parse output formats: CSV and JSON. Use it for data interchange.
$ dnstwist.py --csv example.com > out.csv $ dnstwist.py --json example.com > out.json
The tool is shipped with built-in GeoIP database. Use --geoip argument to display geographical location (country name) for each IPv4 address.
$ dnstwist.py --geoip example.com
Of course all of the features offered by dnstwist together with brief descriptions are always available at your fingertips:
$ dnstwist.py --help
To send questions, comments or a chocolate, just drop an e-mail at firstname.lastname@example.org
You can also reach me via:
Any feedback is appreciated. I like to receive notifications from satisfied customers so if you were able to run the tool and you are happy with the results after just let me know.
If you find some confirmed phishing domains with dnstwist and are comfortable with sharing them, please send me a message. Thank you.