Give and Take: An End-To-End Investigation of Giveaway Scam Conversion Rates
May 16, 2024 Β· Declared Dead Β· π ACM/SIGCOMM Internet Measurement Conference
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Enze Liu, George Kappos, Eric Mugnier, Luca Invernizzi, Stefan Savage, David Tao, Kurt Thomas, Geoffrey M. Voelker, Sarah Meiklejohn
arXiv ID
2405.09757
Category
cs.CR: Cryptography & Security
Citations
7
Venue
ACM/SIGCOMM Internet Measurement Conference
Last Checked
3 months ago
Abstract
Scams -- fraudulent schemes designed to swindle money from victims -- have existed for as long as recorded history. However, the Internet's combination of low communication cost, global reach, and functional anonymity has allowed scam volumes to reach new heights. Designing effective interventions requires first understanding the context: how scammers reach potential victims, the earnings they make, and any potential bottlenecks for durable interventions. In this short paper, we focus on these questions in the context of cryptocurrency giveaway scams, where victims are tricked into irreversibly transferring funds to scammers under the pretense of even greater returns. Combining data from Twitter, YouTube and Twitch livestreams, landing pages, and cryptocurrency blockchains, we measure how giveaway scams operate at scale. We find that 1 in 1000 scam tweets, and 4 in 100,000 livestream views, net a victim, and that scammers managed to extract nearly \$4.62 million from just hundreds of victims during our measurement window.
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