PHISHr 🎣🕵️

A Cybersecurity utility for detecting malicious phishing URLs using Machine Learning.

• 🔒 URL Scanning : Instantly analyze URLs for potential threats and stay one step ahead of phishing attacks.
• 🚨 Suspicious URL Reporting : Contribute to a safer online community by reporting suspicious URLs and helping others stay protected.
• 🔍 Typosquatting Detection : Uncover those sneaky imposters with our clever feature that identifies similar-looking domains.

How does it work? 🤷‍♂️

This web app takes a URL as an input and detects potentially malicious URLs by performing thorough checks such as blacklist verification, SSL certificate presence, HTTPS usage, and AI prediction. It provides a score and flags for various checks conducted. The detection process involves several steps:

• It checks if the URL is present in the top 1 million valid sites database.
• It verifies if the URL is blacklisted in any of the 40 sources checked.
• The app checks for the presence of an SSL certificate, ensuring secure communication.
• The app validates against Google Safe Browsing and Norton Web Safe databases.
• It checks if the URL is blacklisted in McAfee and Sucuri blacklists.
• The app identifies temporary domains registered from unsecure sources.
• It verifies if the URL is older than 3 months.
• The app checks if the URL is blacklisted in local blacklists and IP sets.
• It utilizes an AI model to predict the maliciousness of the URL.
• The app checks if the URL is present in the URL reporting database.

To Run (Locally)

1. Git clone the project repository on your local system

git clone https://github.com/deepeshdm/phishr.git

2. Install dependencies in package.json

npm install

3. Create a new Firebase project with Firestore and Google Authentication enabled. Replace the config in "src/db/firebase-config.js" with your own.

// ADD YOUR OWN FIREBASE CONFIG HERE
const firebaseConfig = {
  apiKey: "xxxxxxxxxxxxxxxxxxxxx",
  authDomain: "xxxxxxxxxxxxxxxxxxxxx",
  projectId: "xxxxxxxxxxxxxxxxxxxxxxx",
  storageBucket: "xxxxxxxxxxxxxxxxxxxxx",
  messagingSenderId: "xxxxxxxxxxxxxxxxxxxxx",
  appId: "xxxxxxxxxxxxxxxxxxxxxx"
};

4. Deploy project on the local server

npm start

• Checkout the REST API - here
• Model Training Notebooks - here