Victim as a Service: Designing a System for Engaging with Interactive Scammers

Fuente: arXiv
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Auteurs principaux: Spokoyny, Daniel, Vogler, Nikolai, Gao, Xin, Zheng, Tianyi, Weng, Yufei, Park, Jonghyun, Jiao, Jiajun, Voelker, Geoffrey M., Savage, Stefan, Berg-Kirkpatrick, Taylor
Format: Preprint
Publié: 2025
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author Spokoyny, Daniel
Vogler, Nikolai
Gao, Xin
Zheng, Tianyi
Weng, Yufei
Park, Jonghyun
Jiao, Jiajun
Voelker, Geoffrey M.
Savage, Stefan
Berg-Kirkpatrick, Taylor
author_facet Spokoyny, Daniel
Vogler, Nikolai
Gao, Xin
Zheng, Tianyi
Weng, Yufei
Park, Jonghyun
Jiao, Jiajun
Voelker, Geoffrey M.
Savage, Stefan
Berg-Kirkpatrick, Taylor
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2510_23927
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Victim as a Service: Designing a System for Engaging with Interactive Scammers
Spokoyny, Daniel
Vogler, Nikolai
Gao, Xin
Zheng, Tianyi
Weng, Yufei
Park, Jonghyun
Jiao, Jiajun
Voelker, Geoffrey M.
Savage, Stefan
Berg-Kirkpatrick, Taylor
Cryptography and Security
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.
title Victim as a Service: Designing a System for Engaging with Interactive Scammers
topic Cryptography and Security
url https://arxiv.org/abs/2510.23927