ShieldScan — XSS Attack Detection System

ML-powered Cross-Site Scripting (XSS) detection system using Random Forest + TF-IDF, achieving 99.7% accuracy.

Tech Stack

• ML Model: Random Forest, TF-IDF, Scikit-learn
• Backend: Python, FastAPI
• Frontend: React, Vite, Tailwind CSS

Features

• Real-time XSS payload detection
• 99.7% accuracy, 99.8% F1 score
• 18 custom security features
• Severity scoring (Safe/Low/Medium/High/Critical)
• Batch scanning support
• Scan history with CSV export
• Dark/Light theme

Run Locally

Backend

cd backend
pip install -r requirements.txt
uvicorn main:app --port 8000

Frontend

cd frontend
npm install
npm run dev

Open http://localhost:5173

Model Performance

Metric	Score
Accuracy	99.7%
F1 Score	99.8%
AUC-ROC	99.99%