Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots
Honeypots are decoy systems mimicking real system components designed to defend against cyber attacks. Recently, LLMs increasingly serve as simulation backbones for honeypots. They enable defenders to construct high-interaction honeypots with low system security risks. However, LLM-powered honeypot development lacks a unified evaluation framework. Most evaluations consist of measuring response similarity on fixed commands, manual testing, or real-world deployment. These methods are often not scalable for development, reproducible across evaluations, representative of practical attacks, or adaptable to various attacker and honeypot configurations. In this work, we bridge this gap and propo...
| Authors | Mark Vero, Fabian Kaczmarczyck, Ivan Petrov et al. |
|---|---|
| Primary category | cs.CR |
| Published | 28 May 2026 |
| Last updated at source | 28 May 2026 |
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