{"ID":2849887,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.23927","arxiv_id":"2510.23927","title":"Victim as a Service: Designing a System for Engaging with Interactive Scammers","abstract":"Pig butchering, and similar interactive online scams, lower their victims' defenses by building trust over extended periods of conversation - sometimes weeks or months. They have become increasingly public losses (at least $75B by one recent study). However, because of their long-term conversational nature, they are extremely challenging to investigate at scale. In this paper, we describe the motivation, design, implementation, and experience with CHATTERBOX, an LLM-based system that automates long-term engagement with online scammers, making large-scale investigations of their tactics possible. We describe the techniques we have developed to attract scam attempts, the system and LLM-engineering required to convincingly engage with scammers, and the necessary capabilities required to satisfy or evade \"milestones\" in scammers' workflow.","short_abstract":"Pig butchering, and similar interactive online scams, lower their victims' defenses by building trust over extended periods of conversation - sometimes weeks or months. They have become increasingly public losses (at least $75B by one recent study). However, because of their long-term conversational nature, they are ex...","url_abs":"https://arxiv.org/abs/2510.23927","url_pdf":"https://arxiv.org/pdf/2510.23927v1","authors":"[\"Daniel Spokoyny\",\"Nikolai Vogler\",\"Xin Gao\",\"Tianyi Zheng\",\"Yufei Weng\",\"Jonghyun Park\",\"Jiajun Jiao\",\"Geoffrey M. Voelker\",\"Stefan Savage\",\"Taylor Berg-Kirkpatrick\"]","published":"2025-10-27T23:19:29Z","proceeding":"cs.CR","tasks":"[\"cs.CR\"]","methods":"[\"Large Language Model\"]","has_code":false}