Leveraging Open-Source Intelligence to Combat Cryptocurrency Investment Scams

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This paper presents a follow-up study to earlier research on cryptocurrency crime, again drawing on the case of anelderly woman defrauded by an online platform known as RSI-Platform. Whereas the initial study focused mainly on onchainanalysis within the blockchain environment, the present work shifts attention to off-chain approaches, applying opensourceintelligence (OSINT) techniques to deepen investigations into crypto-related fraud. By systematically examiningdiverse input data—such as names, phone numbers, email addresses, and URLs—this study conducts link analysis and aimsto build detailed profiles of potential suspects, thereby advancing understanding of the strategies and methods used incryptocurrency scams. The analysis aims not only to trace the scammers’ digital footprints but also to reveal networks andconnections to other fraudulent platforms that support these activities. Moreover, this research seeks to raise publicawareness about the scale and operation of fake online investment schemes in the crypto sector. By exposing thevulnerabilities exploited by offenders and illustrating how OSINT can be used to detect and disrupt such scams, the paperadds to ongoing discussions on cybersecurity and consumer protection in the fast-changing field of digital finance.Additionally, the findings are intended to offer practical insights for law enforcement agencies, policymakers, and the widerpublic, encouraging a more informed and proactive response to the threats posed by crypto-related fraud.