Recently released data about crypto fund flows is truly striking. According to Chainalysis’s new report, in 2025 crypto transfers linked to human trafficking and exploitation networks reached hundreds of millions of dollars—an 85% year-over-year increase. The figures are huge, but the real problem isn’t the financial scale; it’s the suffering the victims endure.

What’s behind this surge? There are scam operations originating in Southeast Asia, online casino networks, and—especially—an organized crime ecosystem run via Telegram. Unlike cash-based systems, the transparency of the blockchain gives investigators the chance to follow these networks. This is where the work of analytics companies like Chainalysis becomes critical.

What’s interesting is that different types of crimes diverge in their preferred ways of using crypto. International escort services and prostitution networks rely on stablecoins almost entirely for quick turnover and price stability. According to Chainalysis’s findings, about 49% of these services conduct transactions exceeding 10,000 dollars, indicating scaled operations by these organized structures. Meanwhile, child sexual abuse material (CSAM) uses a different model—mostly transactions under 100 dollars and a subscription-based system. Monero and instant exchange services are becoming increasingly common among these kinds of networks.

Another point highlighted in Chainalysis’s report is how these criminal networks use U.S.-centered infrastructure for legitimacy and scaling purposes. Operators mostly stay abroad to reduce their own risk. According to Chainalysis data, a single large CSAM site detected in July 2025 used more than 5,800 crypto addresses and generated over 530,000 dollars in revenue since 2022.

In conclusion, blockchain transparency makes it easier to identify networks like these, but criminals’ adaptive strategies continue as well. As privacy tools and alternative Layer 1 networks emerge, it becomes even harder for companies like Chainalysis to track them. It has turned into a kind of technological cat-and-mouse game.