Fool Hackers with AI! Creating a Realistic Honeypot using Gemini & ReAct
Tired of static honeypots? Learn how to build a dynamic, AI-powered SSH honeypot that can genuinely interact with and waste attackers' time!
In this tutorial, we dive deep into creating an intelligent honeypot using Python, the powerful Google Gemini LLM (specifically the fast and efficient Flash model), and the innovative ReAct (Reason+Act) agent methodology.
You'll see how to:
Set up an SSH server in Python using the Paramiko library.
Integrate Google Gemini to generate realistic Linux command-line responses on the fly.
Implement the ReAct pattern, allowing the AI to "think," "act" (like performing lookups, though simulated here), and "observe" to provide convincing, context-aware output.
Customize authentication to allow most connections while blocking common bot credentials.
Structure the Python project, including handling API keys and logging attacker interactions.
Craft effective prompts for Gemini to simulate a specific environment (Ubuntu 20.04 for a medical device company in this case).
Watch the live demo as we connect to the honeypot and run commands like ls, cat /etc/passwd, whoami, and uname -a, showcasing how the Gemini-powered agent generates believable output, mimicking a real system.
This project is perfect for Python developers, cybersecurity enthusiasts, and anyone interested in practical applications of Large Language Models (LLMs) and AI agents. Stop just logging connections – start actively engaging and deceiving threats!