{"id":72140,"date":"2026-09-11T21:58:01","date_gmt":"2026-09-11T18:58:01","guid":{"rendered":"https:\/\/lwallet.com.ua\/?p=72140"},"modified":"2026-09-11T21:58:01","modified_gmt":"2026-09-11T18:58:01","slug":"dirty-cryptocurrency","status":"publish","type":"post","link":"https:\/\/lwallet.com.ua\/en\/dirty-cryptocurrency\/","title":{"rendered":"Dirty Crypto: How To Check If Your Funds Are Clean"},"content":{"rendered":"\r\n\r\n\r\n

Dirty crypto<\/strong> refers to funds whose transaction history is linked to illicit or high-risk activity. According to the Chainalysis Crypto Crime Report 2026<\/a>, illicit cryptocurrency addresses received at least $154 billion in 2025<\/strong>, up 162% from the previous year. Stablecoins accounted for 84% of that volume: criminals use them for many of the same reasons as everyone else \u2014 fast transfers, low fees, and limited price volatility.<\/p>\r\n\r\n\r\n\r\n

Illicit activity still represents less than 1% of overall crypto transaction volume. For regular users, however, the problem is not the percentage itself. Risky funds move through exchangers, P2P trades, and exchanges, and they can eventually reach a wallet whose owner had nothing to do with the original activity. You can receive high-risk crypto in an otherwise ordinary transaction<\/strong> \u2014 for example, as payment for goods, repayment of a debt, or USDT purchased through a service with weak AML controls.<\/p>\r\n\r\n\r\n\r\n

In this guide, we explain what dirty crypto means, how AML services assess the origin of funds, how to check a wallet address or a specific transaction before sending funds to an exchange<\/strong>, and what to do if coins with a risky history have already reached your wallet.<\/p>\r\n\r\n\r\n\r\n

What is dirty crypto?<\/h2>\r\n\r\n\r\n
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\"Dirty<\/figure>\r\n<\/div>\r\n\r\n\r\n

The term usually describes cryptocurrency that is directly or indirectly linked to illicit activity, including theft, darknet markets, fraud, money laundering, sanctioned services, or terrorist financing. The token itself is technically no different from any other token; what matters is its transaction history.<\/strong><\/p>\r\n\r\n\r\n\r\n

Public blockchains preserve transaction history, while analytics companies label addresses and clusters associated with exchanges, mixers, darknet services, stolen funds, and other categories. If coins have passed through a known high-risk source, that connection may still be visible several transfers later. In compliance terminology, this is known as indirect exposure<\/strong>.<\/p>\r\n\r\n\r\n\r\n

Common high-risk sources include:<\/p>\r\n\r\n\r\n\r\n

Source of funds<\/th>Examples<\/th>Typical risk level<\/th><\/tr><\/thead>
Sanctioned services<\/td>Exchanges, exchangers, and individuals on OFAC, EU, or UN sanctions lists<\/td>Critical<\/td><\/tr>
Stolen funds<\/td>Exchange and protocol hacks, phishing, wallet drainers<\/td>Critical<\/td><\/tr>
Darknet<\/td>Markets for prohibited goods and services<\/td>Critical<\/td><\/tr>
Ransomware and terrorism<\/td>Ransom payments, addresses linked to terrorist organizations<\/td>Critical<\/td><\/tr>
Mixers<\/td>Services designed to make the source of funds harder to trace<\/td>High<\/td><\/tr>
Scams and fraud<\/td>Ponzi schemes, fake investment platforms, romance scams<\/td>High<\/td><\/tr>
Unregulated exchangers<\/td>Services with weak or no KYC\/AML checks, loosely controlled P2P venues<\/td>Medium<\/td><\/tr>
Gambling<\/td>Crypto casinos, illegal betting services<\/td>Medium<\/td><\/tr><\/tbody><\/table><\/figure>\r\n\r\n\r\n\r\n

These categories are only a general guide: different AML platforms and exchanges apply their own risk models<\/strong>. A critical label such as sanctions exposure or stolen funds can matter more than the overall risk percentage, while a licensed service and an illegal platform may receive very different classifications even if both fall under a broad category such as gambling.<\/p>\r\n\r\n\r\n\r\n

How big is the problem? Cases from 2025\u20132026<\/h2>\r\n\r\n\r\n
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\"Major<\/figure>\r\n<\/div>\r\n\r\n\r\n

The scale becomes easier to understand through a few concrete examples:<\/p>\r\n\r\n\r\n\r\n