⇄ConverterHub
ToolsBlogAboutGitHub
⇄ConverterHub

Free, privacy-first developer tools. Everything runs in your browser — no logs, no accounts, no server calls.

Site
  • All tools
  • Blog
  • About
  • Privacy
Maker
  • Shubham Singla ↗
  • GitHub ↗
© 2026 ConverterHub. All tools are free and client-side.Made for developers who ship.
  1. Home
  2. /
  3. Blog
  4. /
  5. Password generation: the honest guide for developers

Password generation: the honest guide for developers

I've worked on several projects that required password generation, and I've seen firsthand how a poorly implemented password generator can lead to security breaches. One such proje

August 17, 2026·6 min read·By Shubham Singla
#security#passwords
On this page
  1. Introduction to Password Generation
  2. Entropy vs Length
  3. Diceware vs Random
  4. Server-Side Generation Pitfalls
  5. Using a Password Generator Tool
  6. Common mistakes
  7. Is a longer password always more secure?
  8. What is the best way to store passwords securely?
  9. Can I use a password generator to generate passwords for my users?
  10. How do I balance entropy and length when generating passwords?
  11. Is Base64 encryption?
  12. Wrapping up

I've worked on several projects that required password generation, and I've seen firsthand how a poorly implemented password generator can lead to security breaches. One such project involved generating passwords for a large number of users, and we initially used a simple algorithm that concatenated a few random characters. However, when we audited our code, we realized that our passwords were not as secure as we thought. This experience taught me the importance of understanding the trade-offs between entropy and length when it comes to password generation. A good password generator should balance these two factors to produce passwords that are both unique and resistant to guessing attacks.

#TL;DR

  • Entropy and length are crucial factors in password generation
  • Diceware and random number generators are two common approaches to generating passwords
  • Server-side generation can introduce security pitfalls if not implemented carefully
  • Password managers can help users generate and store unique, complex passwords
  • Common mistakes in password generation can lead to security breaches

#Introduction to Password Generation

Password generation is a critical aspect of security, and it's essential to get it right. A good password generator should produce passwords that are unique, complex, and resistant to guessing attacks. There are several approaches to password generation, including using random number generators or diceware. Random number generators use algorithms to produce random characters, while diceware involves rolling dice to generate random numbers that correspond to words or characters. Both approaches have their advantages and disadvantages, and the choice of approach depends on the specific use case.

#Entropy vs Length

When it comes to password generation, entropy and length are two critical factors to consider. Entropy refers to the amount of uncertainty or randomness in a password, while length refers to the number of characters in the password. A good password generator should balance these two factors to produce passwords that are both unique and resistant to guessing attacks. For example, a password with high entropy but short length may be more vulnerable to guessing attacks than a password with lower entropy but longer length. To illustrate this, consider the following code example:

import secrets

def generate_password(length):
    characters = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789'
    password = ''.join(secrets.choice(characters) for _ in range(length))
    return password

print(generate_password(12))

This code generates a password of a specified length using a random number generator. However, the entropy of the password depends on the quality of the random number generator and the character set used.

#Diceware vs Random

Diceware is another approach to password generation that involves rolling dice to generate random numbers that correspond to words or characters. This approach can produce passwords that are more memorable and easier to type than those generated by random number generators. However, diceware passwords may have lower entropy than those generated by random number generators, depending on the specific implementation. To illustrate this, consider the following example:

import random

def generate_diceware_password(num_words):
    word_list = ['apple', 'banana', 'cherry', 'date', 'elderberry']
    password = ' '.join(random.choice(word_list) for _ in range(num_words))
    return password

print(generate_diceware_password(5))

This code generates a diceware password by randomly selecting words from a list. The entropy of the password depends on the size of the word list and the number of words used.

#Server-Side Generation Pitfalls

Server-side password generation can introduce security pitfalls if not implemented carefully. One common mistake is to use a predictable algorithm to generate passwords, which can make it easier for attackers to guess or crack the passwords. Another mistake is to store passwords in plaintext or using a weak hashing algorithm, which can compromise the security of the passwords. To avoid these pitfalls, it's essential to use a secure random number generator and a strong hashing algorithm, such as bcrypt or Argon2. For example, when generating passwords on the server-side, you can use a library like crypto to generate cryptographically secure random numbers:

const crypto = require('crypto');

function generatePassword(length) {
    const characters = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789';
    const password = [];
    for (let i = 0; i < length; i++) {
        const randomIndex = crypto.getRandomValues(new Uint32Array(1))[0] % characters.length;
        password.push(characters[randomIndex]);
    }
    return password.join('');
}

console.log(generatePassword(12));

This code generates a password of a specified length using a cryptographically secure random number generator.

#Using a Password Generator Tool

If you need to generate passwords, you can use a tool like our password generator to produce unique, complex passwords. This tool uses a secure random number generator to generate passwords that are resistant to guessing attacks. You can also use this tool to generate passwords for your users, and then store the hashed passwords securely on your server. For example, you can use the Base64 encoding scheme to encode the passwords before storing them:

import base64

def encode_password(password):
    encoded_password = base64.b64encode(password.encode('utf-8')).decode('utf-8')
    return encoded_password

print(encode_password('mysecretpassword'))

You can then use a tool like our Base64 encode-decode tool to decode the passwords when needed.

#Common mistakes

  • Using a predictable algorithm to generate passwords
  • Storing passwords in plaintext or using a weak hashing algorithm
  • Not using a secure random number generator
  • Not balancing entropy and length when generating passwords
  • Not using a password manager to generate and store unique, complex passwords
  • Not following best practices for password storage and transmission, as outlined in the NIST guidelines

#FAQ

#Is a longer password always more secure?

A longer password is not always more secure. While length is an important factor in password security, entropy is also crucial. A shorter password with high entropy may be more secure than a longer password with low entropy.

#What is the best way to store passwords securely?

The best way to store passwords securely is to use a strong hashing algorithm, such as bcrypt or Argon2, and to store the hashed passwords securely on your server. You should also use a secure random number generator to generate the passwords.

#Can I use a password generator to generate passwords for my users?

Yes, you can use a password generator to generate passwords for your users. However, you should use a secure random number generator and a strong hashing algorithm to store the passwords securely.

#How do I balance entropy and length when generating passwords?

To balance entropy and length when generating passwords, you should use a secure random number generator and a character set that includes a mix of uppercase and lowercase letters, numbers, and special characters. You should also consider the trade-offs between entropy and length, and adjust the password generation algorithm accordingly.

#Is Base64 encryption?

No, Base64 is not encryption. It is a encoding scheme that converts binary data to a text format using a 64-character alphabet. While Base64 can be used to encode passwords, it is not a secure way to store passwords, and should be used in conjunction with a strong hashing algorithm.

#Wrapping up

In conclusion, password generation is a critical aspect of security, and it's essential to get it right. By understanding the trade-offs between entropy and length, and using a secure random number generator and a strong hashing algorithm, you can generate passwords that are unique, complex, and resistant to guessing attacks. You can also use a password generator tool, such as our password generator, to produce unique, complex passwords for your users. For more information on password security, you can refer to the Mozilla Developer Network or the NIST guidelines.

Related posts

All posts →
August 9, 2026 · 5 min read
Password generation: the honest guide for developers
I've worked on several projects that required a password generator, and I've seen firsthand how a poorly implemented password generator can lead to security breaches. For instance,
August 2, 2026 · 6 min read
Password generation: the honest guide for developers
I still remember the first time I had to implement a password generator for a web application. The requirements were simple: generate a random password of a given length. However,
July 12, 2026 · 5 min read
Password generation: the honest guide for developers
I've worked on several projects that required users to create passwords, and I've seen firsthand how difficult it can be to generate strong, unique passwords. One particular projec