TY - GEN
T1 - The Poorest Man in Babylon
T2 - 34th ACM Web Conference, WWW 2025
AU - Muzammil, Muhammad
AU - Pitumpe, Abisheka
AU - Li, Xigao
AU - Rahmati, Amir
AU - Nikiforakis, Nick
N1 - Publisher Copyright: © 2025 Copyright held by the owner/author(s).
PY - 2025/4/28
Y1 - 2025/4/28
N2 - Governments and regulatory bodies have recognized investment scams as a prevalent form of cryptocurrency fraud. These scams typically use professional-looking websites to lure unsuspecting victims with promises of unrealistically high returns. In this paper, we introduce Crimson, a distributed system designed to continuously detect cryptocurrency investment scam websites as they are created in the wild. During the first 8 months of 2024, Crimson processed approximately 6 billion domain names and classified 43, 572 unique cryptocurrency investment scam websites in real-time. Beyond detection, we provide insights into the design and infrastructure of these websites that can help users recognize scam patterns and assist hosting providers in detecting and blocking such sites. Furthermore, we investigate the inclusion of our detected scam websites in block-lists used by popular web browsers and applications, finding that the vast majority of these websites were absent. On the financial side, by analyzing the transactions incoming to scammer wallets on 6.7% of the sites detected by Crimson, we observe an estimated lower bound of 2.04M USD in losses due to cryptocurrency investment scams.
AB - Governments and regulatory bodies have recognized investment scams as a prevalent form of cryptocurrency fraud. These scams typically use professional-looking websites to lure unsuspecting victims with promises of unrealistically high returns. In this paper, we introduce Crimson, a distributed system designed to continuously detect cryptocurrency investment scam websites as they are created in the wild. During the first 8 months of 2024, Crimson processed approximately 6 billion domain names and classified 43, 572 unique cryptocurrency investment scam websites in real-time. Beyond detection, we provide insights into the design and infrastructure of these websites that can help users recognize scam patterns and assist hosting providers in detecting and blocking such sites. Furthermore, we investigate the inclusion of our detected scam websites in block-lists used by popular web browsers and applications, finding that the vast majority of these websites were absent. On the financial side, by analyzing the transactions incoming to scammer wallets on 6.7% of the sites detected by Crimson, we observe an estimated lower bound of 2.04M USD in losses due to cryptocurrency investment scams.
KW - Blockchain
KW - Cryptocurrency
KW - Financial Loss
KW - LLM
KW - Scam
UR - https://www.scopus.com/pages/publications/105005141414
U2 - 10.1145/3696410.3714588
DO - 10.1145/3696410.3714588
M3 - Conference contribution
T3 - WWW 2025 - Proceedings of the ACM Web Conference
SP - 1034
EP - 1045
BT - WWW 2025 - Proceedings of the ACM Web Conference
PB - Association for Computing Machinery, Inc
Y2 - 28 April 2025 through 2 May 2025
ER -