LogLyzer is a comprehensive Python-based Web Log Security Analyzer designed to process standard web server access logs. It automatically identifies suspicious or anomalous behavior and presents the findings through an interactive Streamlit web dashboard.

• Security Analysis (401 Detection): Automatically flags and aggregates requests resulting in 401 Unauthorized responses to identify potential brute-force or credential-stuffing attacks.
• GeoIP Enrichment: Utilizes the geoip2 library to accurately map malicious and high-volume IP addresses to their precise geographic locations.
• Interactive Streamlit Dashboard: Provides a user-friendly interface for uploading logs, viewing security metrics, and visualizing data using dynamic charts powered by Plotly.
• Dynamic Filtering: Allows users to filter all displayed results (including charts) by IP Address and HTTP Status Code via a sidebar.

This project requires Python 3.9+ and assumes you are running the Streamlit app from the LogLyzer_GUI directory.

First, navigate to the project directory and activate your virtual environment:

# Example for Windows. Use 'source .venv/bin/activate' on Linux/macOS
cd LogLyzer_GUI
source .venv/Scripts/activate