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        <title>VishBox v2: A Multi-Agent System for Adaptive Voice Phishing Simulation</title>
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        <namePart type="given">Sungmi</namePart>
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    <abstract>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.</abstract>
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%0 Conference Proceedings
%T VishBox v2: A Multi-Agent System for Adaptive Voice Phishing Simulation
%A Park, Sungmi
%A Choi, Daon
%A Yang, Yoonmo
%A Yunyi, Hong
%A Kim, Heedou
%Y Li, Yunyao
%Y Rehm, Georg
%Y Tu, Mei
%S Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-394-4
%F park-etal-2026-vishbox
%X 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.
%U https://aclanthology.org/2026.acl-industry.145/
%P 2168-2182

Markdown (Informal)

[VishBox v2: A Multi-Agent System for Adaptive Voice Phishing Simulation](https://aclanthology.org/2026.acl-industry.145/) (Park et al., ACL 2026)

• VishBox v2: A Multi-Agent System for Adaptive Voice Phishing Simulation (Park et al., ACL 2026)

ACL

• Sungmi Park, Daon Choi, Yoonmo Yang, Hong Yunyi, and Heedou Kim. 2026. VishBox v2: A Multi-Agent System for Adaptive Voice Phishing Simulation. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), pages 2168–2182, San Diego, California, USA. Association for Computational Linguistics.