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argon2-pass

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argon2-pass

State of the art password hashing and one time password reset token generation module written in TypeScript for nodejs.

  • 0.1.0
  • Source
  • npm
  • Socket score

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10
increased by42.86%
Maintainers
1
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NPM Version NPM Downloads Build Status Test Coverage Dependencies devDependencies Known Vulnerabilities

Introduction

SecurePass is a module for the creation of hashes from passwords, allowing you to store passwords securely. The module also provides a facility for the generation and verification of one time use password reset tokens for use in your own password reset flows. This module is a wrapper for libsodium's implementation of the Argon2ID password hashing algorithm.

Features

  • Uses the state of the art, secure modern password hashing algorithm Argon2ID.
  • Uses Buffer's for safer memory management.
  • Allows for generation of one time use password reset tokens to be used in your own password reset flow.
  • Easily configurable work factors, allowing you to increase the security of your hashes over time.
  • Three default difficulty configurations for password hashing, as defined in libsodium's implementation. Allowing you to configure your security level based on some recommended predefined values.
  • Simple rehashing of passwords you are already storing. Allowing you to improve the security of your hashes over time.
  • The module is written in typescript and ships with a type definition file by default.

Installation

To install the package you need to use a package manager such as npm or yarn.

yarn add secure-pass
npm install secure-pass

Usage

Coming Soon

Testing

This package is configured with [jest] tests, these tests ensure that the module is working correctly and as specified as well as generating code coverage reports.

yarn test
or
npm test

Acknowledgements

  • Special thanks to the creators of libsodium and sodium-native both of which are used extensively in this package, and without which the creation of this module wouldn't have been possible.

Licence

Licensed under MIT.

Copyright (C) 2018 DrBarnabus

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Package last updated on 06 Sep 2018

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