SCAMSHIELD - Fake Banking APK Detection

A modern cybersecurity web application that detects fake/malicious banking APKs using machine learning and static analysis.

Features

• ML-Powered Detection: Uses trained models with Androguard static analysis
• Risk Scoring: 0-10 risk score with detailed explanations
• Comparison Mode: Side-by-side analysis of two APKs
• Modern UI: React + TailwindCSS with dark mode
• Real-time Analysis: FastAPI backend with instant results

Tech Stack

• Frontend: React + Vite + TailwindCSS + Framer Motion
• Backend: FastAPI + Python
• ML: Scikit-learn + XGBoost + Androguard
• Database: SQLite
• Deployment: Docker + Docker Compose

Quick Start

# Clone and setup
git clone <repo>
cd apkshield

# Run with Docker
docker-compose up --build

# Or run locally
pip install -r backend/requirements.txt
cd frontend && npm install

Project Structure

apkshield/
├── backend/           # FastAPI backend
├── frontend/          # React frontend
├── ml/               # ML training pipeline
├── data/             # Datasets and models
├── docker-compose.yml
└── README.md

Demo Flow

1. Upload official banking APK → Safe (low score)
2. Upload malicious APK → High Risk (high score)
3. Compare mode shows concrete differences
4. View analysis history and metrics

DEMO VIDEO ->

https://drive.google.com/file/d/1IW66ammPw3J1LNed9WY3iwV6T1wEZqml/view?usp=sharing