Skip to Content
Blockchain

The US has blacklisted digital currency addresses for three Chinese nationals

August 22, 2019
The US Department of Treasury building
The US Department of Treasury buildingAssociated Press

The Treasury Department has blacklisted several digital currency addresses it says belong to three Chinese nationals accused of trafficking synthetic opioids in the US. 

The news: The US Treasury’s Office of Foreign Assets Control (OFAC) alleges that Xiaobing Yan, Fujing Zheng, and Guanghua Zheng have been running an international drug trafficking operation in the US. In turn, it has frozen these individuals’ US-based assets. OFAC has also blacklisted a number of digital currency addresses associated with them, claiming that the accused drug traffickers laundered their proceeds “in part by using digital currencies such as Bitcoin.”

Not the first time: These aren’t the first digital currency addresses that OFAC has blacklisted. In November 2018, the office added Bitcoin addresses linked to two Iranian nationals to the Specially Designated Nationals list, prohibiting US citizens from dealing with them. 

The two men allegedly helped exchange millions of dollars’ worth of Bitcoin acquired via a ransomware scheme. At the time, the Wall Street Journal called the news “a signal of a new era in which illicit gains are transacted in code instead of cash.” The latest action reinforces how serious US officials are about cracking down on the use of cryptocurrency for money laundering (See “New money-laundering rules change everything for cryptocurrency exchanges). 

We still have questions, though. What happens if blacklisted users simply get new addresses, which is a relatively easy thing to do? And what will the consequences be if US entities transact with the blacklisted addresses? Perhaps publicizing digital currency addresses is more about sending a message to prospective money launderers: You are being watched.

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.