Danphobic - NGINX Log Analysis Dashboard 🏆

Winner of the UCC ACM Hackathon sponsored by NGINX

Created by Alex Goodison & Suneet Mahajan.

Danphobic is a powerful web-based dashboard for analyzing NGINX access logs. It provides insights into web server traffic patterns, detects anomalies, and helps identify potential security threats through advanced log analysis.

🎥 Demo

Click thumbail above to watch on Youtube

🚀 Features

• Interactive Dashboard: Clean, modern interface for visualising log data
• AI-Powered Analysis: Leverages Google's Gemini LLM for intelligent log querying and analysis
• Anomaly Detection: Identifies suspicious patterns including:
  • High-frequency IP requests
  • Suspicious user agents
  • Sensitive endpoint access attempts
  • Burst requests
  • Error rate spikes
  • Bot vs. human traffic analysis
• Geographic Visualisation: Map view of request origins
• Advanced Analytics:
  • Request patterns over time
  • Status code distribution
  • HTTP method analysis
  • Most accessed paths
  • Error path analysis
  • Traffic pattern insights

🛠️ Tech Stack

• Frontend: Next.js with modern UI components
• Backend: FastAPI (Python)
• Search Engine: Elasticsearch for efficient log storage and querying
• AI Integration: Google Gemini LLM for intelligent log analysis
• Data Processing: Custom Python parser for NGINX log analysis

🎯 Problem Statement

The project addresses the challenge of making sense of NGINX access logs by:

1. Reading and parsing NGINX access logs
2. Identifying unusual patterns and potential security threats
3. Presenting insights through an intuitive dashboard interface

🏆 Achievement

This project won the UCC ACM Hackathon sponsored by NGINX, demonstrating excellence in:

• Technical implementation
• User experience design
• Problem-solving approach
• Innovation in log analysis

🔍 Key Features in Detail

Anomaly Detection

• Identifies blacklisted IPs
• Detects unusual request patterns
• Monitors sensitive endpoint access
• Analyses user agent patterns
• Tracks error rates and spikes

Data Visualisation

• Interactive charts and graphs
• Geographic request distribution
• Real-time traffic monitoring
• Error pattern analysis
• Traffic pattern insights

AI Integration

• Natural language querying of logs
• Intelligent pattern recognition
• Automated anomaly detection
• Smart insights generation