Yoonmo Yang
2026
VishBox v2: A Multi-Agent System for Adaptive Voice Phishing Simulation
Sungmi Park | Daon Choi | Yoonmo Yang | Hong Yunyi | Heedou Kim
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)
Sungmi Park | Daon Choi | Yoonmo Yang | Hong Yunyi | Heedou Kim
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)
Voice phishing is a multi-round social engineering attack in which strategy and victim psychology co-evolve, yet real transcripts are rarely accessible for systematic analysis. We present VishBox v2, a multi-agent architecture that generates structured phishing simulations grounded in crime-script procedures and persuasion principles. A Main Agent orchestrates a Dialogue Agent and a Tactic Search Agent, combining multi-round dialogue generation, web-based tactic mining, and emotion-driven vulnerability tracking. Across 571 rounds, results including police-expert evaluation support procedural realism and show that VishBox v2 captures tactic concentration, vulnerability transitions, and web-search-induced procedural disruptions. The framework provides a controlled foundation for safer red-teaming and security training research.