A simplistic Node.js implementation of RSA encryption/decryption

This is a basic and simplistic implementation of RSA in JS which used to understand the implementation/math required for encryption/decryption and opportunities for hacking RSA using Quantum Computing.

If you are looking for a nice article on RSA and a small practical example, this might be helpful https://simple.wikipedia.org/wiki/RSA_algorithm

Hacking RSA using Prime Number Factorization

Hacking RSA uses the numeric public exponent from the public key and tries to calculate its largest common multiple factors (p and q) – from those two numbers you can calculate the Private Key. Using traditional computing to hack “small” RSA public keys can be done with a few modern algorithms, including the currently fastest General Number Field Sieve.

A nice library for General Number Field Sieves is http://cado-nfs.gforge.inria.fr/

You can use this site to factor a prime without having to install anything https://asecuritysite.com/encryption/factors. Enter the Public Key which gets generated by the code (should be < 100 bits for the site to be able to factor)

Installation

npm install

Usage

Edit the index.js file if you would like to edit the size or message being encrypted:

// Message
const message = 'Hello';

// Generate RSA keys (bits), max is 232 digits (768 bits)
const keys = RSA.generate(80);

Run the code

npm run start

Example Output

Public Key Exponent (e):65537 Random Prime (p): 798000088811 Random Prime (q): 563631878177 Totient (lcm of (p-1)(q-1)): 224889144420297550405280 ------------------------------------------------- Keys Public Key (n = p * q): 449778288841956732777547 Public Key Length: 24 digits (79 bits) Private Key (d = e multiplicative inverse (totient)): 210473481577786144493313 Private Key Length: 24 digits (78 bits) ------------------------------------------------- Message: Hello Encoded: 72101108108111 Encrypted (c = encoded message (m) ^ e modulo n): 426078873740860671226694 Decrypted (m = encrypted message (c) ^ d modulo n): 72101108108111 Decoded: Hello Correct? true read more

Open Source Project: Rasa UI

Rasa is an open source machine learning framework to automate text-and voice-based conversations.

Rasa UI is a web application built on top of, and for Rasa. Rasa UI provides a web application to quickly and easily be able to create and manage bots, NLU components (Regex, Examples, Entities, Intents, etc.) and Core components (Stories, Actions, Responses, etc.) through a web interface. It also provides some convenience features for Rasa, like training and loading your models, monitoring usage or viewing logs.

I developed Rasa UI to help me manage my bots as well as creating and managing the training data. The app is developed on NodeJS, and uses a simple SqlLite DB for persistence (previously PostgresDB). read more