A Corpus of Real Scam- and Spam-Call Conversations from an Active Voice-Agent Honeypot
Real conversations between fraudsters and their targets are among the most informative artifacts for studying telephone scams, yet also the scarcest: passive honeypots overwhelmingly capture automated messages and hang-ups, large-scale studies characterize call metadata rather than dialogue, and manual scam-baiting does not scale. We present a dataset of real scam-call conversations collected by an active voice-agent honeypot. Dedicated numbers are seeded into the lead-generation channels fraud operations harvest; inbound callers are answered by a low-latency conversational agent that adopts a plausible target persona and sustains the interaction while every call is recorded, transcribed,...
| Authors | Ethan Traister, Dennis Tsang Ng, Siyu Zhang et al. |
|---|---|
| Primary category | cs.CR |
| Published | 25 August 2026 |
| Last updated at source | 25 August 2026 |
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