SecureTrack

A role-based cybersecurity platform for managing vulnerabilities, security incidents, and AI-powered security analysis.

Live Demo

Frontend: https://secure-track-beige.vercel.app

Backend API: https://securetrack-ieji.onrender.com

Note: The frontend is deployed on Vercel, while the backend is deployed on Render using Docker.

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Features

• Role-Based Authentication

  • Secure login and registration with JWT authentication.
  • Separate dashboards for Admin, Developer, and User roles.

• Vulnerability Management

  • Report, view, update, and manage security vulnerabilities.
  • Upload supporting evidence files for vulnerability reports.
  • Track vulnerability status and severity.

• Incident Management

  • Report and manage cybersecurity incidents.
  • Monitor incident lifecycle from reporting to resolution.

• AI Security Assistant

  • Chat with an AI assistant for cybersecurity guidance.
  • Receive recommendations and explanations for reported vulnerabilities.

• Interactive Dashboard

  • Public dashboard displaying platform statistics.
  • Admin dashboard with vulnerability and incident analytics.

• Secure API

  • Django REST Framework APIs protected with JWT authentication.
  • Role-based authorization for sensitive operations.

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User Roles

Admin

• Manage all users.
• Manage vulnerabilities and incidents.
• View administrative dashboard.
• Monitor overall platform security.

Developer

• Report vulnerabilities.
• View assigned vulnerabilities.
• Use AI Security Assistant.
• Track vulnerability status.

User

• Report security incidents.
• View submitted incidents.
• Access public dashboard.

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Getting Started

Prerequisites

Before running the project, make sure you have:

• Python 3.13+
• PostgreSQL
• Node.js 18+
• Git
• Docker (optional)

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Clone the Repository

git clone https://github.com/anuskabhandari/SecureTrack.git

cd SecureTrack

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Backend Setup

Navigate to the backend folder.

cd backend

Create a virtual environment.

python -m venv venv

Activate it.

Windows

venv\Scripts\activate

Linux / macOS

source venv/bin/activate

Install dependencies.

pip install -r requirements.txt

Create a .env file.

Example:

SECRET_KEY=your_secret_key

DEBUG=True

DB_NAME=your_database

DB_USER=your_username

DB_PASSWORD=your_password

DB_HOST=localhost

DB_PORT=5432

GROQ_API_KEY=your_groq_api_key

Run migrations.

python manage.py makemigrations

python manage.py migrate

Create a superuser.

python manage.py createsuperuser

Run the backend.

python manage.py runserver

Backend API:

http://127.0.0.1:8000

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Frontend Setup

Navigate to frontend.

cd frontend

Install dependencies.

npm install

Create a .env file.

VITE_API_URL=http://127.0.0.1:8000

Run the frontend.

npm run dev

Frontend:

http://localhost:5173

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Docker Setup

Build and start the application.

docker compose up --build

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Tech Stack

Frontend

• React
• Vite
• Bootstrap
• Axios
• React Router
• React Toastify

Backend

• Python
• Django
• Django REST Framework
• JWT Authentication
• Gunicorn

Database

• PostgreSQL

AI

• Groq API

Deployment

• Docker
• Render
• Vercel

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Project Structure

SecureTrack/

├── backend/
│   ├── accounts/
│   ├── vulnerabilities/
│   ├── incidents/
│   ├── dashboard/
│   ├── ai/
│   ├── profiles/
│   └── securetrack/
│
├── frontend/
│   ├── src/
│   ├── public/
│   └── package.json
│
├── docker-compose.yml
├── README.md
└── .env.example

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API Highlights

• Authentication APIs
• User Management
• Vulnerability Management
• Incident Management
• Dashboard Statistics
• AI Chat Assistant

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Future Enhancements

• Email Notifications
• CVE Database Integration
• Risk Score Prediction
• Real-Time Alerts
• Audit Logs
• Multi-Factor Authentication
• Security Reports Export (PDF/Excel)

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Screenshots

Admin Dashboard

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Developer Dashboard

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User Dashboard

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License

This project is licensed under the MIT License.

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Author

Anuska Bhandari