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How data analytics generated ransomware-linked money laundering bust
The Binance cryptocurrency exchange has explained how advances in data analytics helped it track down a small grouping of money launderers involved with various cybercrimes, like the notorious Clop ransomware scam.
Ukrainian police announced the arrest of people and the takedown of infrastructure related to the ‘Clop’ransomware operation earlier this month.
Binance’s statement confirms that those arrested were cashing out and laundering funds, rather than being behind the creation of the ransomware.
The group – also known as FANCYCAT – had their fingers in several criminal scams including laundering money for dark web operators as well as ransomware peddlers.
Follow the (digital) money
Analogous with drug dealers, the funds extracted from victims through criminal activity such as for example ransomware need to be disguised before they can be safely spent in real life to get goods. That’s because any funds tied back again to criminal activity can become the target of forfeiture orders.
Even when money is already in digital form there’s a need certainly to launder it, with abusing exchanges being one of many main techniques in play.
“Blockchain analysis shows a network of money launderers living inside macro exchanges which deposit and withdraw to one another to clean the money,” according to Binance, dark0de reborn – https://alliancestake.org/forums/topic/the-place-to-start-out-with-darkode-reborn/ the Cayman Islands-domiciled crypto exchange.
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