🛡️ Malware Simulation & Cyber Threat Dashboard

A real-time Cybersecurity Simulation Dashboard built using FastAPI (Backend) and HTML/CSS/JavaScript (Frontend). This project simulates different malware attacks and visualizes their behavior through a modern SOC-style dashboard.

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🚀 Features

• ⚡ Real-time malware simulation (RAT, Ransomware, Virus, Worm)
• 📜 Live activity logs with typing animation
• 📊 Analytics dashboard (Total runs, Last attack)
• 🧠 Attack description panel
• ⏱️ Execution timer
• 📥 Download logs functionality
• 🔄 Reset dashboard
• 🔔 Desktop notifications
• 🎨 Premium Cybersecurity UI (SOC-style dashboard)

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🧩 Tech Stack

🔹 Backend

• FastAPI
• Python
• Uvicorn

🔹 Frontend

• HTML5
• CSS3 (Glassmorphism + Cyber UI)
• JavaScript (Vanilla JS)

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⚙️ Project Structure

project/
│
├── backend/
│   ├── main.py
│   ├── simulation.py
│   ├── logger.py
│   └── logs.txt
│
├── frontend/
│   ├── index.html
│   ├── style.css
│   └── script.js
│
└── README.md

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🧪 Supported Simulations

Attack Type	Description
⚡ RAT	Remote system control simulation
🔐 Ransomware	File encryption behavior
🦠 Virus	File infection & replication
🐛 Worm	Network-based self-propagation

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▶️ How to Run

1️⃣ Clone Repository

git clone https://github.com/your-username/malware-simulation-dashboard.git
cd malware-simulation-dashboard

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2️⃣ Backend Setup

cd backend
pip install fastapi uvicorn

Run server:

uvicorn main:app --reload

👉 API will run on:

http://127.0.0.1:8000

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3️⃣ Frontend Setup

• Open frontend/index.html in browser OR
• Use Live Server (recommended)

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📡 API Endpoints

Endpoint	Method	Description
/	GET	Check API status
/simulate/{type}	GET	Start simulation
/logs	GET	Fetch logs
/stats	GET	Analytics data
/attack-info/{type}	GET	Attack details

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📸 Demo Workflow

1. Select attack (RAT / Ransomware / Virus / Worm)
2. Simulation starts
3. Logs appear in real-time
4. Progress updates dynamically
5. Dashboard updates analytics
6. Simulation completes with notification

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⚠️ Disclaimer

This project is only for educational purposes. It does NOT execute real malware. All behaviors are simulated safely.

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💡 Future Improvements

• 🔌 WebSocket for real-time logs (no polling)
• 📊 Graph-based analytics
• 🌐 Network attack visualization
• 📄 PDF report generation
• 🔐 Authentication system

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👨‍💻 Author

Mohd. Amaan Hamid Cybersecurity Student

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⭐ Contribution

Feel free to fork, improve, and contribute!

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📜 License

This project is open-source and available under the MIT License.