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Regulations & Policies

South Korea Targets “Tether Laundromats” Days After ZachXBT-Led $38M USDT Freeze

South Korea's National Police Agency announced it will intensify enforcement against unregistered crypto exchange offices converting criminal proceeds into USDT.

Written By Divya Mistry
Published 2026-05-11·Updated 5 months ago
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South Korea Targets “Tether Laundromats” Days After ZachXBT-Led $38M USDT Freeze
South Korean police emblem reflects growing enforcement focus around digital asset cases.
Show AI Summary
South Korea’s National Police Agency targets unregistered crypto exchanges facilitating money laundering
Police will investigate voice phishing proceeds converted into Tether via unregistered offices
Korean law enforcement collaborates with Financial Intelligence Unit for specialized virtual asset training

For the first time, a major national police force has assigned a specific name to a specific failure mode in stablecoin-era money laundering. South Korea calls it the “Tether Laundromat”— and on Monday, Korea’s National Police Agency made it a stated enforcement priority.

Speaking at a press briefing at Korea’s National Police Agency in Seodaemun-gu, Seoul, Director Park Sung-ju announced that police would intensify investigations into unregistered crypto exchange offices that have been used to convert criminal proceeds into Tether (USDT) and route them overseas,according to a local report.

“We will prepare specialized training for virtual asset investigations in collaboration with relevant agencies, such as the Financial Intelligence Unit (FIU),” Park said. “While investigations into major crimes involving virtual assets, such as fraud, criminal complaints, and drug trafficking, have already been conducted, we will certainly investigate the laundering of criminal proceeds as well.”

The trigger is the rapid spread of unregistered crypto exchange offices across Seoul that are facilitating the conversion of voice phishing proceeds into USDT. Voice phishing, the country’s most persistent organized fraud category, has increasingly migrated its off-ramp from cash and traditional banking to stablecoin rails over the past couple of months.

The Mechanics

The “Tether Laundromat” model, per Korean law enforcement, works as follows. A voice phishing organization defrauds Korean victims of won-denominated funds. The won proceeds are delivered to an unregistered crypto exchange office in Seoul (often operating from inconspicuous storefronts). The office converts the won into USDT, typically on the Tron network for low fees. The USDT is moved to overseas wallets, frequently controlled by the phishing organization’s foreign operators. From there, the funds can be converted into other currencies or cashed out at exchanges in jurisdictions with weaker enforcement. The entire chain, from defrauded won to overseas-controlled USDT, can complete in hours.

The model exists because USDT on Tron offers what Korean law enforcement has not been able to match: 24/7 settlement, sub-dollar fees, and global reach without bank-mediated friction. As long as the exchange-office step happens domestically, the rest of the laundering chain operates outside Korea’s enforcement reach.

Park outlined the specific resources Korea will deploy. The Criminal Proceeds Tracking Team will begin formal crypto-asset tracking training in the second half of 2026. Approximately ₩100 million has been allocated in related budget. Continuous professional training for crypto-specialized investigators will follow, and the FIU will be a primary training partner.

The timeline is, on its own terms, deliberate. 

The DSJ Comparison: 72 Hours vs. Six Months

Exactly one week ago, on May 5, 2026, a different kind of enforcement event unfolded in the same global stablecoin landscape.

As The Crypto Times reported, on-chain investigator ZachXBT, coordinating with Tether, Binance Security, OKX, and U.S. law enforcement, executed a 72-hour takedown of the DSJ Exchange / BG Wealth Sharing Ponzi network. The scheme had drained more than $150 million from victims across five continents over nearly 12 months. By the end of the 72-hour window: $41.5 million in fraud proceeds were frozen: approximately 27-28% of total identified laundered funds. About $38.4 million in USDT blacklisted directly by Tether across 19 addresses on the Tron network. The remaining $3.1 million frozen across Binance, OKX, and U.S.-controlled wallets.

The DSJ takedown demonstrated what private-sector crypto enforcement can do at speed. The Korean announcement demonstrates what national police forces are still preparing to do at scale.

The gap is structural. Tether’s “blacklist” function, a centralized control built into the USDT smart contract, can freeze funds in minutes once an address is identified. On-chain investigators like ZachXBT can identify suspect addresses in hours. National police forces, by contrast, must build the institutional capacity to investigate stablecoin flows from scratch — training officers, allocating budget, partnering with financial intelligence units, and integrating on-chain analytics into evidentiary chains that hold up in court.

Why USDT Specifically

Korean authorities’ explicit naming of Tether, rather than the broader “stablecoins” or “crypto”, reflects a documented operational reality.

Tether (USDT) is the dominant stablecoin used in illicit finance globally. Per TRM Labs, USDT accounts for the largest share of stablecoin-denominated illicit volume tracked across 2025-2026, and Tether’s centralized control over its smart contract — which allows the company to freeze addresses unilaterally — has made it both the preferred laundering vehicle (because of liquidity and low fees) and the most freezable (because of Tether’s compliance posture).

For Korea, the operational implication is sharp: every won-to-USDT conversion at an unregistered exchange office is a point at which Tether, not just Korean law enforcement, could intervene. The question is whether Korean police can build the on-chain forensics capacity to identify those addresses fast enough to trigger Tether’s freeze function before the funds are spread across mixing services or jurisdictions where Tether’s compliance posture matters less.

The pattern is consistent: as stablecoin-based money laundering has scaled, enforcement responses have become more specific: naming particular tokens, particular networks, and particular intermediary structures (unregistered exchange offices, OTC desks, off-chain converters).

What’s Next for Korea

Three signals will tell whether Korea’s “Tether Laundromat” crackdown produces operational results or remains rhetorical:

  1. Arrests of unregistered exchange office operators in Seoul before the end of Q3 2026.
  2. Coordination with Tether’s compliance team to enable Korean authorities to flag and freeze addresses in real time, similar to the framework the U.S. and U.K. have built.
  3. Voluntary disclosure by Korean licensed crypto exchanges (Upbit, Bithumb, Coinone, Korbit) of any patterns matching the unregistered-exchange-office laundering profile — including unusually patterned small-balance USDT outflows.

The press conference also addressed several non-crypto matters, including the rejected arrest warrant for HYBE Chairman Bang Si-hyuk (Park said the rejection should not be read as prosecutor-police tension), the Gwangju high-school stabbing case, and Q1 2026 drug arrest statistics showing a 26% year-over-year increase, with online drug crime arrests up 48%.

For now, the message from Korean police is direct: the era of treating crypto as a one-step removed enforcement priority is over. The won-to-USDT conversion point is now the priority.

Also Read: How DSJ Exchange Operated for 12 Months Despite Warnings from 13 Regulators

Disclaimer: The information researched and reported by The Crypto Times is for informational purposes only and is not a substitute for professional financial advice. Investing in crypto assets involves significant risk due to market volatility. Always Do Your Own Research (DYOR) and consult with a qualified Financial Advisor before making any investment decisions.

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