About

ExoPassword is a Password Strength Analyzing module that combines Machine Learning, rule-based scoring, and breach detection to provide detailed insight regarding your passwords.

• Supports password strength evaluation by 4 Machine Learning models
• Rule based password scoring
• Password breach status and breach count

Installation

Python3 is required.

Open terminal and execute:

pip install exopassword

Development Installation

Open terminal and execute:

git clone https://github.com/owaspvit/exo.git
cd exo
pip install --editable .

Other Requirements

• Enzoic API Key

Example Usage

from exo.exocore import ExoCore

API_KEY = "" #Enzoic API Key here
SECRET_KEY = "" #Enzoic Secret Key here
exo = ExoCore(API_KEY, SECRET_KEY)

result = exo.results("abc123@12")

print(result)

Output

{
 "password": "abc123@12",
 "score": 80,
 "DecisionTree": {
  "score": 1,
  "response": "Moderate"
 },
 "LogisticRegression": {
  "score": 1,
  "response": "Moderate"
 },
 "NaiveBayes": {
  "score": 1,
  "response": "Moderate"
 },
 "NeuralNetwork": {
  "score": 2,
  "response": "Strong"
 },
 "Breached": True,
 "BreachCount": 11
}

Machine Learning Models Information

Model	Training Accuracy	Testing Accuracy
Decision Tree	0.981	0.926
Logistic Regression	0.819	0.818
Naive Bayes	0.812	0.812
Neural Network	0.991	0.989

Links

• Dataset
• Demo

Contributing

Before creating an issue, please ensure that it hasn't already been reported/suggested.

The issue tracker is only for bug reports and enhancement suggestions. If you have a question, please ask it in the Discord server instead of opening an issue – you will get redirected there anyway.

If you wish to contribute to the ExoPassword codebase or documentation, feel free to fork the repository and submit a pull request.

Help

If you don't understand something in the documentation, you are experiencing problems, or you just need a gentle nudge in the right direction, please don't hesitate to join our Discord Server.