stratosphereips/VelLMes-AI-Deception-Framework

Interactive, dynamic, and realistic LLM honeypots

41
/ 100
Emerging

This framework helps cybersecurity professionals create interactive, dynamic, and realistic digital traps, known as honeypots. It takes configuration settings for services like SSH, MySQL, POP3, and HTTP, and generates sophisticated, AI-driven environments to lure and engage attackers. The output is collected intelligence on attacker behavior, tactics, and tools, presented through a web dashboard for analysis. It's designed for security researchers and incident responders.

No commits in the last 6 months.

Use this if you need to set up highly convincing and adaptable honeypots to gather threat intelligence and analyze attacker methodologies without risking real systems.

Not ideal if you're looking for a simple, static honeypot solution or an automated vulnerability scanner; this tool is for active deception and intelligence gathering.

threat-intelligence cyber-deception incident-response security-research network-security
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 16 / 25

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Stars

76

Forks

12

Language

Python

License

GPL-2.0

Last pushed

Feb 18, 2025

Commits (30d)

0

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