Loganalyzer

Loganalyzer is a web application developed as part of the Smart India Hackathon 2023 project. It comprises a central server for log analysis, a victim machine hosting PHP as the server, and an attacker machine. The victim machine gets attacked, and the logs are sent to the central server for analysis. The server decodes the logs and remediates the vulnerabilities. The web application is used to analyze threats and alerts.

Features

• Log Analysis: Analyze logs from victim systems to identify threats and vulnerabilities.
• Alert System: Receive real-time alerts for suspicious activities and security breaches.
• Vulnerability Remediation: Remediate vulnerabilities identified in log analysis.
• Dashboard: View statistics and visualizations of threat analysis.
• User Management: Manage user accounts and permissions for accessing the system.
• API Integration: Utilize Django as an API for backend functionality.

Tech Stack

• Django: Backend framework used for central server development and log analysis.
• React.js: Frontend library used for building the user interface.
• PHP: Server-side language used on the victim machine.
• Python: Programming language used for backend development and log analysis.
• REST API: Utilized for communication between frontend and backend.

Installation

1. Clone the repository:

   git clone https://github.com/Venky2004/logalyzer.git

2. Navigate to the project directory:

   cd logalyzer

3. Set up the Django backend:

   • Create a virtual environment (optional but recommended):

     python -m venv venv

   • Activate the virtual environment:
     • On Windows:

       venv\Scripts\activate

     • On macOS and Linux:

       source venv/bin/activate

   • Install dependencies:

     pip install -r requirements.txt

   • Run migrations:

     python manage.py migrate

4. Set up the React frontend:

   • Navigate to the frontend directory:

     cd frontend

   • Install dependencies:

     npm install

Usage

1. Start the Django backend:

   python manage.py runserver

2. Start the React frontend:

   • Navigate to the frontend directory:

     cd react-ui

   • Start the development server:

     npm start

3. Open your web browser and navigate to http://localhost:3000 to access Loganalyzer.

Live Demo

Check out the live demo of Loganalyzer here.