HoneyFS
HoneyFS is an LLM-powered honeypot tool that generates realistic fake file systems using GPT-3.5 to deceive attackers and enhance security analysis.
HoneyFS is an LLM-powered honeypot tool that generates realistic fake file systems using GPT-3.5 to deceive attackers and enhance security analysis.
Checked October 2026.
HoneyFS is an LLM-based honeypot file system creator that leverages natural language processing to generate realistic file systems, configurations, and files designed to attract and deceive attackers.
The tool utilizes GPT-3.5 and prompt engineering techniques to create convincing fake file systems that can be customized to target specific threat actors and improve analyst engagement with potential attackers.
HoneyFS allows security professionals to deploy deceptive file systems that appear legitimate to attackers while providing valuable intelligence about attack methods and behaviors.
The tool is currently a proof-of-concept implementation and is not recommended for production environments.
No core features are listed for this product yet, so check the vendor's documentation for the full feature list.
No integrations are listed for this product yet. Check the vendor's documentation, or ask the vendor which integrations and APIs it supports.
Common questions about HoneyFS: features, pricing and alternatives.
HoneyFS is a product in the Honeypots & Deception category. It covers Security Research, Proof of Concept and Attack Detection.
HoneyFS is free. Download and setup instructions are at https://github.com/referefref/honeyfs/.
Alternatives to HoneyFS listed on CybersecTools:
Compare all HoneyFS alternatives at https://cybersectools.com/alternatives/honeyfs
HoneyFS is available as on-premises software. It is listed for mid-market companies and enterprises. It is free.
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