In 2024, crypto scams received at least $9.9B on-chain, up 40% YoY and likely a record; scams marketplace Huione Guarantee received $376M+ in crypto in 2024
Context & Ripple Effects
Chainalysis’ estimate places 2024 in a longer pattern of large, recurring fraud inflows: reported scam proceeds exceeded $4B in 2019 and rose sharply during the DeFi-era wave of rug-pull losses in 2021.
The initial 2024 figure is a floor rather than a final tally. Later Chainalysis coverage put 2024 scam receipts at $12B while reporting still-higher 2025 inflows, illustrating how attribution can expand as additional illicit wallets are identified.
First-order effects
- The finding quantifies a substantial 2024 fraud burden for crypto users and gives investigators a documented on-chain trail tied to Huione Guarantee’s more than $376M in receipts.
- Huione Guarantee becomes a more prominent identifiable node in Chainalysis’ account of the 2024 scam economy, rather than scams appearing solely as dispersed wallet-level activity.
Second-order effects
- Exchanges, wallet providers, and compliance teams have stronger reason to screen exposure to addresses and transaction paths associated with the marketplace and related scam infrastructure.
- The gap between the initial $9.9B minimum and the later higher estimate for 2024 scam inflows underscores that risk assessments based on early blockchain attribution can understate eventual exposure.
Third-order effects
- If successive revisions and annual increases persist, blockchain transparency alone will not close the long-running crypto-fraud problem; the limiting factor becomes whether platforms and enforcement can act on identified networks quickly enough.
- The concentration of receipts at identifiable service nodes may make intermediary-focused disruption more central to anti-scam efforts, though the reported flows alone do not establish what action will follow.
The trend: Crypto fraud is becoming a persistent, measurable infrastructure problem in which evolving on-chain attribution reveals larger networks over time.