Today, we’re excited to release DataTrap, a powerful, extensible honeypot system built to simulate realistic web applications, IoT devices, and database behavior across HTTP, HTTPS, SSH, and database protocols (e.g., MySQL).
What sets DataTrap apart? It goes beyond static honeypots by combining recorded payloads, metadata, and large language models (LLMs) to generate dynamic, context-aware responses. Whether you’re simulating a legacy database or a modern API server, DataTrap responds in ways that feel real to attackers, while capturing valuable telemetry for defenders.
Key features include:
- Emulation of multiple protocols and application versions
- Modular architecture for easy customization and expansion
- LLM-powered response generation for unknown requests
- A continuously evolving dataset that adapts to attacker behavior
- Simple, container-based deployment for any environment
Whether you’re a security researcher, defender, or security enthusiast, DataTrap makes it easy to run believable honeypots that collect high-quality insights, with minimal setup and maintenance.
Explore the tool, contribute to the dataset, or build your own honeypot today:
View the DataTrap GitHub Repository
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