Tracing Cryptocurrency Scams: Clustering Replicated Advance-Fee and Phishing Websites
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Abstract (arXiv)
Over the past few years, there has been a growth in activity, public knowledge, and awareness of cryptocurrencies and related blockchain technology. As the industry has grown, there has also been an increase in scams looking to steal unsuspecting individuals cryptocurrency. Many of the scams operate on visually similar but seemingly unconnected websites, advertised by malicious social media accounts, which either attempt an advance-fee scam or operate as phishing websites. This paper analyses public online and blockchain-based data to provide a deeper understanding of these cryptocurrency scams. The clustering technique DBSCAN is applied to the content of scam websites to discover a typology of advance-fee and phishing scams. It is found that the same entities are running multiple instances of similar scams, revealed by their online infrastructure and blockchain activity. The entities also manufacture public blockchain activity to create the appearance that their scams are genuine. Through source and destination of funds analysis, it is observed that victims usually send funds from fiat-accepting exchanges. The entities running these scams cash-out or launder their proceeds using a variety of avenues including exchanges, gambling sites, and mixers.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 May 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1; 2025: 1; 2026: 1.
5 papers.
- 2022Do not rug on me: Zero-dimensional Scam Detectioncited by 3
- 2021Detecting DeFi Securities Violations from Token Smart Contract Codecited by 0
- 2024Cryptocurrency Frauds for Dummies: How ChatGPT introduces us to fraud?cited by 0
- 2025Clustering and analysis of user behaviour in blockchain: A case study of Planet IXcited by 0
- 2026Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detectioncited by 0
- 2026Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection28 May 2026
- 2025Clustering and analysis of user behaviour in blockchain: A case study of Planet IX16 Apr 2025
- 2024Cryptocurrency Frauds for Dummies: How ChatGPT introduces us to fraud?5 Jun 2024
- 2022Do not rug on me: Zero-dimensional Scam Detection16 Jan 2022
- 2021Detecting DeFi Securities Violations from Token Smart Contract Code6 Dec 2021