Welcome to the most intelligent password evaluator app 'Pazzword'.
It analyzes passwords using the open source library 'nbvcxz', a Java adaptation of 'zxcvbn' by Dropbox.
In comparison to other password evaluator tools this secure and flexible tool uses algorithms for pattern matching and conservative estimation to give you the best results currently possible. It recognizes and weighs 30.000 common passwords, common names & surnames, most english words and common patterns like dates, repeats, sequences, keyboard patterns and l33t speak. For more information visit https://github.com/dropbox/zxcvbn.
You are welcomed to open new issues and creating pull requests for improving code and implementing new features (see chapter Contribute).
Furthermore I'm still a student so the progress might not be as fast as on other projects.
You can also have a look at my other projects:
My GitHub page
Analyzing entered passwords with the following feedback:
- a score,
- entropy,
- custom suggestions,
- found patterns and
- estimated stability against cracking for the returned password.
Accessing the 200 most common passwords of 2020 (source).
Of course I'm happy about any kind of contribution.
For creating issues there's no real guideline you should follow. If you create pull requests please try to use my syntax that I follow. Using a unified code format makes it much easier for me and for everyone else.
MIT License