Trapster Community is a low-interaction honeypot designed for internal network deployment. The tool operates by simulating network services to detect and monitor suspicious activities, utilizing Python's asyncio for non-blocking operations. Key functionalities include: - Service simulation for intrusion detection - Configurable service deployment through trapster.conf - HTTP honeypot engine with AI response capabilities - Website cloning functionality using YAML configuration - Multiple logging options including file-based and API-based logging - Docker deployment support - Customizable logging formats for connection, data, login, and query events The system supports various deployment methods including manual installation, system service configuration, and containerized deployment through Docker.
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A combination of honeypot, monitoring tool, and alerting system for detecting insecure configurations.
A script for setting up a dionaea and kippo honeypot using Docker images.
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A low-interaction SSH authentication logging honeypot that logs all authentication attempts in JSON format.
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