How do I integrate DBZxcvbn in a Swift project?

You'll need to use Objective-C bridging by adding the library to your project and creating a bridging header. Check Apple's documentation on mixing Swift and Objective-C for steps, as DBZxcvbn is not natively Swift.

Is DBZxcvbn better than iOS's built-in password rules?

Yes, DBZxcvbn provides more realistic strength estimation through pattern matching and entropy calculations, whereas iOS rules are simpler and less accurate for complex passwords, as highlighted in the project's philosophy.

Can I use DBZxcvbn for server-side password validation?

No, DBZxcvbn is designed for iOS clients; for server-side, consider the original JavaScript or Python ports of zxcvbn, which are mentioned in the README as alternatives.

How accurate is the crack time estimation in DBZxcvbn?

It uses conservative entropy calculations based on common patterns and dictionaries, making it reasonably accurate for real-world scenarios, as detailed in the Dropbox tech blog linked in the README.

DBZxcvbn vs other iOS password libraries: which one should I choose?

Choose DBZxcvbn if you need pattern-based estimation and easy UI integration with DBPasswordStrengthMeter; for lighter, rule-based systems, simpler libraries might be sufficient without the overhead.

How to add custom words to the dictionary in DBZxcvbn?

Use the userInputs parameter in the passwordStrength:userInputs: method to pass an array of strings, such as site-specific vocabulary, which DBZxcvbn will add to its internal dictionary for penalization.

Open-Awesome

zxcvbn-ios

MITObjective-Cv1.0.4

A realistic password strength estimation library for iOS, using pattern matching and conservative entropy calculations.

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221 stars66 forks0 contributors

What is zxcvbn-ios?

DBZxcvbn is an iOS library that estimates password strength using pattern matching and entropy calculations. It helps developers build secure authentication flows by analyzing passwords against common patterns, dictionaries, and user inputs to provide realistic security feedback.

Target Audience

iOS developers building apps with password-based authentication who need to implement robust password strength estimation and user guidance.

Value Proposition

Developers choose DBZxcvbn because it offers a realistic, pattern-based approach to password strength estimation, avoiding simplistic rules, and includes ready-to-use UI components like DBPasswordStrengthMeter for easy integration.

Overview

A realistic password strength estimator.

Use Cases

Best For

Implementing password strength meters in iOS registration forms
Adding custom dictionary checks for site-specific vocabulary
Penalizing passwords containing user personal information
Providing detailed password analysis with entropy and crack time estimates
Building secure authentication flows with visual feedback
Replacing basic password rules with pattern-based estimation

Not Ideal For

Swift-only iOS projects without Objective-C bridging or compatibility layers
Server-side applications requiring password validation on the backend
Developers seeking a drop-in solution with minimal setup, due to incomplete installation documentation
Teams needing cross-platform password strength libraries for both iOS and Android

Pros & Cons

Pros

Realistic Pattern Matching

Uses advanced detection for sequences, repeats, dates, and QWERTY layouts to avoid simplistic rules, aligning with the project's philosophy of realistic estimation.

Easy iOS Integration

Includes DBPasswordStrengthMeter for ready-to-use UI components in forms, as shown in the example DBCreateAccountViewController.m for seamless implementation.

Custom Dictionary Support

Allows adding user inputs like email or name via the userInputs parameter to heavily penalize personal info, enhancing security for specific contexts.

Detailed Security Metrics

Provides entropy, crack time estimates, and a 0-4 score in DBResult, enabling deep analysis for developers to build informed password strength meters.

Cons

Incomplete Installation Documentation

The README states 'Installation: Coming soon.', making setup difficult and suggesting potential maintenance issues or poor documentation.

Objective-C Only

Limited to Objective-C, requiring bridging for Swift projects, which adds complexity and may not align with modern iOS development trends.

Port Lag Potential

As a port of the original zxcvbn, it might not receive updates as quickly as the JavaScript or Python versions, risking feature gaps.

Frequently Asked Questions

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