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14 Crypto Scam Types (and How Blockchain Forensics Helps Detect and Disrupt Them)

Reported by Trmlabs
Dec 8, 2025· 2 min read
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Key Takeaways
  • • Crypto scams have cost victims at least USD 53 billion since 2023, with the actual figure expected to rise as attribution and forensic capabilities improve.
  • • TRM Labs identifies 14 distinct crypto scam typologies, ranging from phishing attacks to pig butchering schemes, each exploiting the irreversible and borderless nature of blockchain transactions.
  • • Blockchain forensics—the practice of analyzing on-chain data to trace transactions, identify patterns, and link wallets to real-world actors—serves as a critical detection and disruption tool for investigators and compliance professionals.
  • • Crypto scams predominantly rely on deception and psychological manipulation, often targeting victims' emotions and causing lasting psychological damage beyond financial loss.
  • • The pseudonymity of blockchain creates operational advantages for scammers, but the same immutable ledger technology enables forensic analysis to detect illicit activity and disrupt fraud networks.
Summary
As cryptocurrency adoption accelerates, the volume and sophistication of on-chain fraud schemes have grown proportionally. According to TRM Labs research, crypto scams have sent at least USD 53 billion to fraud-related addresses since 2023—a significant figure likely to increase as blockchain forensics and attribution methodologies continue to mature. The research effort identifies 14 common scam typologies affecting the crypto ecosystem, demonstrating the diverse tactics employed by bad actors to exploit users.

Crypto scams leverage fundamental characteristics of blockchain technology—particularly its irreversible transaction finality and borderless nature—to facilitate theft of digital assets and sensitive information. The pseudonymous structure of most blockchains creates operational cover for perpetrators, who can conduct transactions with limited direct identification. Common schemes include phishing attacks, pig butchering operations (a long-form social engineering fraud), and various other deceptive practices that primarily target victims' emotions and decision-making processes, resulting in both immediate financial losses and sustained psychological damage.

Blockchain forensics has emerged as a critical investigative discipline for combating these schemes. Defined as the systematic analysis of blockchain transactions to uncover patterns and trace fund flows, blockchain forensics enables investigators and compliance teams to attribute on-chain activity to real-world actors. The practice examines decentralized, pseudonymous ledgers such as Bitcoin and Ethereum, extracting actionable intelligence from transaction data, wallet behavior, and temporal patterns. By mapping the movement of illicit funds across blockchain networks, forensic practitioners can identify scam infrastructure, disrupt fraud operations, and support law enforcement investigations.

TRM Labs' framework outlines how blockchain forensics tools and methodologies help identify and stop scam networks while enabling end users to strengthen their defensive posture. The ability to detect on-chain hallmarks—specific transaction patterns, wallet clustering, and behavioral signatures—allows institutions and investigators to intervene before victims' funds are laundered or converted to other asset classes, reducing both the scope and duration of active fraud campaigns.

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Sources

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AlphaMaven summarised this story from the reporting below. Each link opens the original article.

Trmlabs 14 Crypto Scam Types (and How Blockchain Forensics Helps Detect and Disrupt Them)