npmpackage.info

Gathering detailed insights and metrics for @zxcvbn-ts/language-common

Other packages similar to @zxcvbn-ts/language-common

@zxcvbn-ts/core

3.0.4

Realistic password strength estimation written in typescript

@zxcvbn-ts/language-en

3.0.2

The English language package for zxcvbn-ts

@zxcvbn-ts/language-fr

3.0.2

The French language package for zxcvbn-ts

zxcvbn

4.4.2

realistic password strength estimation

Gathering detailed insights and metrics for @zxcvbn-ts/language-common

@zxcvbn-ts/language-common

Low-Budget Password Strength Estimation

3.0.4

921

MIT

TypeScript

10,290,975 5.2

Installations

npm install @zxcvbn-ts/language-common

Pull Requests

Open

4

Total

168

Closed

10

Merged

154

Issues

Open

9

Total

104

Closed

95

Releases

Unable to fetch releases

Developer

zxcvbn-ts

Developer Guide

BETA

Module System

CommonJS

Min. Node Version

Typescript Support

Yes

Node Version

18.16.1

NPM Version

lerna/7.3.0/node@v18.16.1+arm64 (darwin)

Statistics

921 Stars

835 Commits

74 Forks

7 Watching

6 Branches

66 Contributors

Updated on 27 Nov 2024

Languages

TypeScript (98.1%)

JavaScript (1.9%)

Total Downloads

Cumulative downloads

Total Downloads

10,290,975

Last day

0.1%

27,119

Compared to previous day

Last week

8.1%

148,912

Compared to previous week

Last month

13.9%

595,377

Compared to previous month

Last year

68.6%

5,523,521

Compared to previous year

Daily Downloads

Weekly Downloads

Monthly Downloads

Yearly Downloads

No dependencies detected.

Versions

zxcvbn-ts

This is a complete rewrite of zxcvbn into typescript which is licensed under the MIT license. Thanks to the original creators dropbox for the great work.

zxcvbn is a password strength estimator inspired by password crackers. Through pattern matching and conservative estimation, it recognizes and weighs 40k common passwords, common names surnames, popular words from Wikipedia and common word in different language from different countries, and other common patterns like dates, repeats (aaa), sequences (abcd), keyboard patterns (qwertyuiop), and l33t speak.

Consider using zxcvbn as an algorithmic alternative to password composition policy — it is more secure, flexible, and usable when sites require a minimal complexity score in place of annoying rules like "passwords must contain three of {lower, upper, numbers, symbols}".

More secure: policies often fail both ways, allowing weak passwords (P@ssword1) and disallowing strong passwords.

More flexible: zxcvbn allows many password styles to flourish so long as it detects sufficient complexity — passphrases are rated highly given enough uncommon words, keyboard patterns are ranked based on length and number of turns, and capitalization adds more complexity when it's unpredictaBle.

More usable: zxcvbn is designed to power simple, rule-free interfaces that give instant feedback. In addition to strength estimation, zxcvbn includes minimal, targeted verbal feedback that can help guide users towards less guessable passwords. For further detail and motivation, please refer to the USENIX Security '16 paper and presentation.

The reason of this project is to modernize zxcvbn and make it maintainable with new features.

Features
Documentation
LanguagePackages
Comparison
Contribution

Features

estimate strength of a password
get a score for the password
i18n support, for dictionaries and feedback translations
extend existing dictionaries with your own
usable without dictionaries at all, which reduce the scoring efficiency rapidly. This is not recommended
types
custom matcher
haveibeenpwned matcher

Documentation

Checkout the Documentation. There you will also find the Demo pages and the Migration guide.

LanguagePackages

If your language is missing as a language pack checkout the guide to add your own.

Comparison

If you want to know how much the scoring changed compared to the original checkout the comparison page.

Contribution

Please feel free to open up an issue or provide a pull request.

No vulnerabilities found.

10

Dangerous-Workflow

Determines if the project's GitHub Action workflows avoid dangerous patterns.

10

Security-Policy

Determines if the project has published a security policy.

10

Maintained

Determines if the project is "actively maintained".

10

Binary-Artifacts

Determines if the project has generated executable (binary) artifacts in the source repository.

10

License

Determines if the project has defined a license.

9

Vulnerabilities

Determines if the project has open, known unfixed vulnerabilities.

3

Code-Review

Determines if the project requires human code review before pull requests (aka merge requests) are merged.

0

Token-Permissions

Determines if the project's workflows follow the principle of least privilege.

0

CII-Best-Practices

Determines if the project has an OpenSSF (formerly CII) Best Practices Badge.

0

Pinned-Dependencies

Determines if the project has declared and pinned the dependencies of its build process.

0

Fuzzing

Determines if the project uses fuzzing.

0

Branch-Protection

Determines if the default and release branches are protected with GitHub's branch protection settings.

0

SAST

Determines if the project uses static code analysis.

Score

5.2

/10

Last Scanned on 2024-11-25

The Open Source Security Foundation is a cross-industry collaboration to improve the security of open source software (OSS). The Scorecard provides security health metrics for open source projects.

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