Trapster Community

A low-interaction honeypot that simulates network services to detect and monitor potential intrusion attempts on internal networks.

140

Security Operations

5

0

Trapster Community

A low-interaction honeypot that simulates network services to detect and monitor potential intrusion attempts on internal networks.

Security Operations•Honeypots & Deception

Python Docker Network Security

140stars

GitHub Stars

04 Sep

Last commit

0

Updated 16 Oct 25

5

Trapster Community Description

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.

Trapster Community Description

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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