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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 associated with various cybercrimes, including the notorious Clop ransomware scam.
Ukrainian police announced the arrest of people and dark0de reborn – http://www2u.biglobe.ne.jp/~k_yone/cgi-bin/g_book/g_book.cgi/summary/ the takedown of infrastructure linked 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 referred to as FANCYCAT – had their fingers in numerous 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 instance ransomware have to be disguised before they may be safely spent in actuality to get goods. That’s because any funds tied back once again to criminal activity can end up being the target of forfeiture orders.
Even when money is already in digital form there is a have to launder it, with abusing exchanges being one of the main techniques in play.
“Blockchain analysis shows a network of money launderers living inside macro exchanges which deposit and withdraw together to scrub the money,” according to Binance, the Cayman Islands-domiciled crypto exchange.
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