Node.js / Node.js Authentication and Security

Hashing Passwords with Bcrypt

In this tutorial, you'll learn how to hash passwords using Bcrypt in Node.js. It provides a step-by-step guide on enhancing user password security through hashing and salting.

Tutorial 2 of 5 5 resources in this section

Section overview

5 resources

Explores implementing authentication and security practices in Node.js applications.

Introduction

In this tutorial, we will dive into password hashing using Bcrypt in Node.js. Our goal is to enhance the security of user passwords by applying a cryptographic hash function. You will learn how to apply a salt to the password hashes to make them even more secure.

You will learn:
- What password hashing and salting is
- How to use Bcrypt for password hashing
- How to use Bcrypt for adding a salt to the password hash

Prerequisites:
- Basic understanding of JavaScript
- Node.js and NPM installed on your machine
- Basic understanding of password security

Step-by-Step Guide

Hashing is the process of converting plain text into an irreversible set of characters. This is useful for storing passwords in a database as it adds an extra layer of security. If a hacker gained access to your database, they would only see the hashed password, not the original text.

Salting is another layer of security on top of hashing. It involves adding random data to the password before hashing it. This makes each hashed password unique, even if two users have the same password.

Bcrypt is a password hashing function which incorporates salt as part of the hash. This means we can both hash and salt our passwords using Bcrypt.

Code Examples

Install Bcrypt module using npm:

npm install bcrypt

Example 1: Hashing a password

const bcrypt = require('bcrypt');

async function hashPassword(password) {
    const saltRounds = 10; // Defines the complexity of the salt
    const hashedPassword = await bcrypt.hash(password, saltRounds);
    console.log(hashedPassword);
}

hashPassword('myPassword123');

In this example, we first require the Bcrypt module. Then, we create an asynchronous function hashPassword that takes a password and hashes it with a specified salt round. The salt round defines the complexity of the salt. Higher numbers means more complex salts, but also more processing time. The hashed password is then logged in the console.

Example 2: Comparing a plain text password to a hashed password

const bcrypt = require('bcrypt');

async function comparePasswords(password, hashedPassword) {
    const match = await bcrypt.compare(password, hashedPassword);
    console.log(match ? 'Passwords match!' : 'Passwords do not match!');
}

comparePasswords('myPassword123', '$2b$10$K4miL7I4h0ThNSBBQDyjeu7l2OBiO7VkzE2pBAvH7s24Eh8m3vz1S'); 

In this example, we use Bcrypt's compare function to check if a plain text password matches a hashed password. It returns a boolean indicating whether or not they match.

Summary

In this tutorial, you've learned how to hash passwords and add a salt to them using Bcrypt in Node.js. You also learned how to compare a plain text password to a hashed password.

For further learning, consider exploring different salting techniques, or how to integrate this password hashing into a user registration system.

Practice Exercises

  1. Easy: Create a function that hashes a password with a salt round of 5.
  2. Medium: Create a function that hashes a password with a salt round of 12, then compare it to a plain text password.
  3. Hard: Create a user registration system that stores hashed and salted passwords, then create a login system that compares inputted passwords to the stored hashed passwords.

Solutions:

  1. Same as the first example, but change const saltRounds = 10; to const saltRounds = 5;
  2. Same as the first and second examples combined, but change const saltRounds = 10; to const saltRounds = 12;
  3. This is a more complex exercise that integrates everything you've learned. It involves creating a database (possibly using something like MongoDB), storing user data (including hashed passwords), and creating a login system that compares inputted passwords to the hashed passwords in the database.

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