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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 several money launderers involved with various cybercrimes, like the notorious Clop ransomware scam.

Ukrainian police announced the arrest of an individual and darkode reborn (click through the up coming web page – https://wiki.aranor.net/User:ClaribelLindgren) 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, as opposed to being behind the creation of the ransomware.

The group – also known as FANCYCAT – had their fingers in numerous criminal scams including laundering money for dark web operators in addition to 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 may be safely spent in real life to purchase 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 is 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 together to clean the amount of money,” in accordance with Binance, the Cayman Islands-domiciled crypto exchange.

 

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