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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 associated with various cybercrimes, like the notorious Clop ransomware scam.
Ukrainian police announced the arrest of individuals 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 dark0de reborn – http://physicscarnival.web.unej.ac.id/forums/topic/concern-not-if-you-utilize-darkode-reborn-the-right-manner/ 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 in addition to ransomware peddlers.
Follow the (digital) money
Analogous with drug dealers, the funds extracted from victims through criminal activity such as for instance ransomware need to be disguised before they may be safely spent in actuality to purchase goods. That’s because any funds tied back once again to criminal activity can become the target of forfeiture orders.
Even if money is in digital form there’s a need 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 amount of money,” in accordance with Binance, the Cayman Islands-domiciled crypto exchange.
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