Why Choose This Project

In cybersecurity investigations, analyzing large volumes of system or network logs can be tedious and error-prone, especially when done for extended periods. Traditional log analyzers often have bright interfaces, which strain the eyes. This project provides a dark-mode, web-based log analyzer designed for cybersecurity analysts, forensic investigators, and IT professionals to efficiently parse, search, filter, and visualize log data while reducing eye strain.

What You Get

• A responsive web interface optimized for dark mode.

• Ability to upload log files (e.g., system logs, web server logs, firewall logs).

• Real-time filtering, searching, and highlighting of log entries.

• Visualization dashboards for events, errors, and anomalies.

• Optional user authentication for secure multi-user access.

• Export logs or filtered results in CSV, JSON, or PDF formats.

Key Features

Technology Stack

Frontend Layer

• HTML, CSS, JavaScript

• Bootstrap for responsive UI

• Optional: React or Vue.js for dynamic filtering and dashboards

Backend Layer

• Node.js (Express) / Python Flask / Java Spring Boot

• Handles file uploads, parsing, search, and filtering logic

Database Layer (Optional)

• MongoDB / MySQL / PostgreSQL to store logs, filters, and user history

Security Layer

• Input validation for uploaded logs

• HTTPS for secure data transfer

• Optional authentication & role-based access

Visualization Libraries

• Chart.js or D3.js for interactive dashboards

Working Flow

1. User Access

   • Users log in (optional) or access as guest.

2. Log Upload

   • Upload single or multiple log files.

   • Backend validates format and stores temporarily or in DB.

3. Log Parsing & Analysis

   • Backend parses logs into structured format.

   • Real-time filtering and keyword search applied.

4. Dashboard & Visualization

   • Display graphs: event counts, error frequency, IP sources, etc.

   • Highlight anomalies or suspicious events.

5. Export & Reporting

   • Export filtered logs or analysis reports in CSV, JSON, or PDF.

Main Modules

• User Module → Authentication & session management

• Log Upload Module → File validation & parsing

• Analysis Module → Filtering, searching, and highlighting logs

• Dashboard Module → Visualization and analytics display

• Export Module → Export results or reports

Security Features

• Input validation to prevent malicious log injection

• HTTPS encryption for secure file uploads and downloads

• Optional role-based access control for multi-user environments

• Logging of user activities for auditing