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password: qwER43@! guesses_log10: 7.95651: score: 2 / 4: function runtime (ms): 8: guess times: 100 / hour: centuries (throttled online attack) 10 / second:

To make sure it loaded properly, open in a browser and type zxcvbn('Tr0ub4dour&3') into the console. To pull in updates and bug fixes: zxcvbn works identically on the server. > var zxcvbn = require('zxcvbn'); > zxcvbn('Tr0ub4dour&3'); Add zxcvbn.js to your project (using bower, npm or direct download) and import as usual:

zxcvbn is a password strength estimator inspired by password crackers.

2024年3月25日 · zxcvbn是一个由Dropbox开发的开源库，利用模式识别和机器学习评估密码强度，提供实时反馈，帮助用户创建更安全的密码。 适用于Web表单验证、移动应用和企业级解决方案，具有实时评估、可视化反馈和高度定制化特性。 项目地址: https://gitcode.com/gh_mirrors/zxc/zxcvbn. 在数字世界中，安全始终是首要问题，而密码则是我们保护个人数据的第一道防线。 是一个开源的密码强度评估库，由 Dropbox 团队开发并维护， …

zxcvbn. A realistic password strength estimator. This is a Python implementation of the library created by the team at Dropbox. The original library, written for JavaScript, can be found here. While there may be other Python ports available, this one is the most up to date and is recommended by the original developers of zxcvbn at this time.

Overhauled dictionary processing pipeline (scripts in data-scripts). zxcvbn now counts 30k top passwords from Xato.net's 10M password corpus instead of an earlier list of 10k passwords. …

Consider using zxcvbn as an algorithmic alternative to password composition policy — it is more secure, flexible, and convenient in websites that require a minimal complexity score. More secure: policies often fail, allowing weak passwords (P@ssword1) and blocking strong passwords.

zxcvbn, named after a crappy password, is a JavaScript password strength estimation library. Use it to implement a custom strength bar on a signup form near you! zxcvbn attempts to give sound password advice through pattern matching and conservative entropy calculations.

This is a Java version of zxcvbn, a password strength estimator originally written in JavaScript and inspired by password cracking tools. It uses pattern matching and conservative estimation to assess the strength of passwords.