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AI honeypot reveals how phone scammers operate across 10,000 calls

By PulseAugur Editorial · [1 sources] ·

A new research paper analyzes over 10,000 scam and spam calls collected over 54 days by an AI voice-agent honeypot. The study found that scam operations follow typical office hours and use a limited set of recycled scripts. Callers frequently solicit personal information like addresses and dates of birth, leveraging persistence and manufactured authority rather than overt threats. The research also indicated that scammers adapt their conversational effort based on the target's perceived age, though their ultimate goal remained consistent. AI

IMPACT Provides insights into the operational tactics of phone scammers, potentially aiding in the development of more effective detection and prevention methods.

RANK_REASON Research paper published on arXiv detailing findings from an AI-powered analysis of scam calls. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI honeypot reveals how phone scammers operate across 10,000 calls

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Research paper published on arXiv detailing findings from an AI-powered analysis of scam calls. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Ethan Traister, Ankit Raj, Jiaqi Gan, Xingyu Shen, Tyler Wu, Yuchen Zhou, Tommy Duong, Kidus Zewde, Siying Chen, Simiao Ren ·

    Anatomy of a Scam Call: What 10,000 real scam and spam calls reveal about how phone scammers operate

    arXiv:2608.24127v1 Announce Type: cross Abstract: Telephone fraud is pervasive and costly, but its inner workings are rarely observed at scale. We analyze a complete corpus of 10,211 inbound scam and spam calls -- 913 hours of audio and 330,956 transcribed turns from 5,780 distin…

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