Glastopf Analytics
A Python web application that provides statistical analysis and visualization for Glastopf honeypot data by connecting to the honeypot's SQLite database.
Glastopf Analytics
A Python web application that provides statistical analysis and visualization for Glastopf honeypot data by connecting to the honeypot's SQLite database.
Glastopf Analytics Description
Glastopf Analytics is a Python web application that provides statistical analysis and visualization for Glastopf honeypot deployments. The tool connects to the default SQLite database (glastopf.db) used by Glastopf honeypots to extract and present basic information about honeypot activity. The application is built using the Dancer2 web framework and requires several Perl dependencies including DBI for database connectivity and Geo::IP for geographic location analysis of attacking IP addresses. Users can configure the tool by specifying the path to their Glastopf database and setting authentication credentials. The tool retrieves data from the honeypot's SQLite database and presents it through a web interface, allowing security professionals to monitor and analyze attack patterns, geographic distribution of threats, and other honeypot metrics. This enables better understanding of the threat landscape and attack trends targeting the honeypot infrastructure.
Glastopf Analytics FAQ
Common questions about Glastopf Analytics including features, pricing, alternatives, and user reviews.
Glastopf Analytics is A Python web application that provides statistical analysis and visualization for Glastopf honeypot data by connecting to the honeypot's SQLite database.. It is a Security Operations solution designed to help security teams with Sqlite.
