Financial criminals are exploiting prediction markets like Polymarket and Kalshi on a multi-million-dollar scale, using stolen debit cards to place wagers and launder funds through alternative payment methods, according to a Wall Street Journal report.
The systemic abuse emerged publicly in February, when a third-party payment processor contracted by Polymarket identified a massive influx of bets funded by stolen financial data. Fraudsters used the stolen debit details to make wagers on prediction contracts, intending to withdraw any winnings into separate payment channels under their direct control. The scheme targeted at least $10 million in illicit payouts, forcing the payment processor to block more than 80 percent of incoming transactions. That rejection rate far exceeds the standard industry benchmark of roughly one percent.
Compliance Pressures and Regulatory Scrutiny
Polymarket CEO Shayne Coplan instructed compliance personnel to continue processing incoming capital and manage regulatory or fraud consequences later, as reported by the Wall Street Journal.

Financial policy experts emphasize that the scale of exploitation distinguishes prediction markets from supervised financial institutions. Joe Konizeski, a former attorney for the Commodity Futures Trading Commission, noted the stark contrast between unregulated platforms and traditional finance. In the regulated space, institutional oversight ensures that customer funds undergo verification to confirm proper sourcing and handling.
Key Operational Characteristics of Prediction Market Fraud
- Stolen Credentials: Perpetrators fund accounts using compromised debit card details.
- Laundered Payouts: Successful wagers are channeled away from original payment rails into alternative withdrawal methods.
- Processor Rejection Rates: Third-party payment gateways flagged over 80 percent of incoming transactions for Polymarket as fraudulent.
- Regulatory Divergence: Unlike traditional brokerages governed by the Commodity Futures Trading Commission, emerging prediction platforms lack standardized customer fund vetting.
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