PLAN.md

Project Workflow

1. User Inputs URL:

   • User enters the website URL to be analyzed.

2. Basic Checks:

   • Check for common phishing indicators (e.g., unusual URL structure, suspicious domain name).
   • If any indicators are found, classify as phishing and stop.

3. API Calls:

   • Fetch domain information (Whois data, age, registrar).
   • Verify SSL certificate.
   • Check website content against Google Safe Browsing or VirusTotal.
   • Retrieve IP reputation information.

4. Data Preprocessing:

   • Clean and format the data from API responses.
   • Extract relevant features (e.g., domain age, SSL certificate validity, website content keywords, IP reputation score).

5. AI Model:

   • Feed preprocessed data into a trained machine learning model (e.g., Random Forest, Support Vector Machine, Neural Network).
   • Model analyzes the data and predicts whether the website is phishing or legitimate.

6. Decision Making:

   • If the model's confidence level is high, classify the website as phishing or legitimate.
   • If the confidence level is low, consider additional checks or human verification.

7. Output:

   • Display the result to the user (phishing or legitimate).
   • Provide detailed information about the detected threats (if applicable).