@inproceedings{park-etal-2026-vishbox,
    title = "{V}ish{B}ox v2: A Multi-Agent System for Adaptive Voice Phishing Simulation",
    author = "Park, Sungmi  and
      Choi, Daon  and
      Yang, Yoonmo  and
      Yunyi, Hong  and
      Kim, Heedou",
    editor = "Li, Yunyao  and
      Rehm, Georg  and
      Tu, Mei",
    booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 6: Industry Track)",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingestion-form-platform/2026.acl-industry.145/",
    pages = "2168--2182",
    ISBN = "979-8-89176-394-4",
    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."
}