Tether Freezes $4.2B USDT in Crime Crackdown

TheNewsCryptoОпубликовано 2026-02-28Обновлено 2026-02-28

Введение

Tether, the issuer of the USDT stablecoin, has frozen approximately $4.2 billion in assets linked to criminal activities, with $3.5 billion frozen since 2023. The company, which has over $180 billion in circulation, works with global law enforcement to freeze tokens in response to official requests. Recent actions include blocking $61 million tied to "pig-butchering" scams, as well as funds connected to human trafficking, terrorism, and warfare. This crackdown reflects growing regulatory concerns over illicit crypto flows, which saw $82 billion in laundered funds last year. While Tether's control enables swift action against crime, it also highlights tensions around decentralization. Stablecoins like USDT are facing increased regulatory scrutiny as governments push for stronger anti-money laundering standards.

Tether has frozen approximately $4.2 billion worth of its USDT stablecoin over links to illicit activity, the company confirmed. The El Salvador-based issuer said it carried out most of these freezes in the past three years as global enforcement efforts intensified.

The stablecoin giant, which now has more than $180 billion USDT in circulation, retains the ability to remotely freeze tokens held in crypto wallets when law enforcement agencies request action.

Coordinated Law Enforcement Efforts

This week, Tether confirmed that it assisted the U.S. Justice Department in freezing nearly $61 million in USDT tied to “pig-butchering” scams. These schemes involve fraudsters building personal relationships with victims before persuading them to invest in fake crypto opportunities.

The latest freeze brings Tether’s cumulative enforcement total to $4.2 billion. According to company statements, roughly $3.5 billion of that amount has been frozen since 2023.

Tether has also blocked wallets connected to human trafficking networks and individuals linked to terrorism and warfare in Israel and Ukraine. Russian crypto exchange Garantex reported last year that Tether froze funds held on its platform.

The company sees itself as an active participant in the fight against crime. Tether argues that they work in collaboration with authorities around the world in monitoring and addressing suspicious transactions.

Rising Concerns Over Illicit Crypto Flows

Regulators around the world are becoming increasingly wary about the involvement of cryptocurrency in financial crime. The Financial Action Task Force (FATF) urged countries last year to step up their enforcement in crypto markets, which tend to be less regulated than traditional financial systems.

Blockchain researchers reported that money launderers received at least $82 billion in cryptocurrency last year. That figure represents a sharp increase from $10 billion in 2020. A portion of this is because of organized fraud groups, especially among Chinese-speaking individuals.

A key component of cryptocurrency markets is stablecoins. Traders frequently use USDT for exchange liquidity, cross-border transactions, and decentralized finances. As volumes rise, so do the efforts of those who monitor them.

Stablecoins Under Regulatory Spotlight

Tether’s ability to freeze tokens underscores an inherent tension in crypto markets. While blockchain technology peer-to-peer transactions, issuers like Tether maintain control mechanisms over their tokens.

Tether’s enforcement capabilities allow governments to take swift action against criminal organizations. However, critics say that Tether’s control undermines the concept of decentralization.

The rapid growth of stablecoins also increases regulatory focus. Tether’s circulation has expanded from about $70 billion three years ago to more than $180 billion today.

As global regulators push for stronger anti-money laundering standards, stablecoin issuers may face even tighter compliance requirements. The recent actions by Tether indicate that the intentions of the major players in the market are to show cooperation, not resistance.

The crackdown also points to a larger shift in the way the government is dealing with the market. Crypto is no longer viewed as a fringe market, but the government is increasing the pressure on the intermediaries in the digital asset intermediaries to comply with traditional financial crimes regulations.

Highlighted Crypto News:

Senate Democrats Urge Federal Review of Binance Compliance Controls

TagsCrypto RegulationscryptocrimestablecoinsTetherUSDT

Связанные с этим вопросы

QHow much USDT has Tether frozen in total due to links to illicit activity?

ATether has frozen approximately $4.2 billion worth of USDT in total.

QWhat was the specific reason for Tether's recent freeze of $61 million in USDT at the request of the U.S. Justice Department?

AThe $61 million in USDT was frozen because it was tied to 'pig-butchering' scams, where fraudsters build personal relationships with victims before persuading them to invest in fake crypto opportunities.

QWhat is one of the main criticisms of Tether's ability to freeze tokens?

ACritics argue that Tether's control and ability to freeze tokens undermines the core concept of decentralization in cryptocurrency.

QAccording to the article, what has been a key factor in the rising volume of illicit cryptocurrency flows?

AA key factor is organized fraud groups, especially among Chinese-speaking individuals, contributing to a sharp increase from $10 billion in 2020 to at least $82 billion last year.

QWhat does the article suggest about the changing government view of the cryptocurrency market?

AThe article suggests that crypto is no longer viewed as a fringe market, and the government is increasing pressure on digital asset intermediaries to comply with traditional financial crime regulations.

Похожее

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

The article "a16z: AI's 'Amnesia' – Can Continual Learning Cure It?" explores the limitations of current large language models (LLMs), which, like the protagonist in the film *Memento*, are trapped in a perpetual present—unable to form new memories after training. While methods like in-context learning (ICL), retrieval-augmented generation (RAG), and external scaffolding (e.g., chat history, prompts) provide temporary solutions, they fail to enable true internalization of new knowledge. The authors argue that compression—the core of learning during training—is halted at deployment, preventing models from generalizing, discovering novel solutions (e.g., mathematical proofs), or handling adversarial scenarios. The piece introduces *continual learning* as a critical research direction to address this, categorizing approaches into three paths: 1. **Context**: Scaling external memory via longer context windows, multi-agent systems, and smarter retrieval. 2. **Modules**: Using pluggable adapters or external memory layers for specialization without full retraining. 3. **Weights**: Enabling parameter updates through sparse training, test-time training, meta-learning, distillation, and reinforcement learning from feedback. Challenges include catastrophic forgetting, safety risks, and auditability, but overcoming these could unlock models that learn iteratively from experience. The conclusion emphasizes that while context-based methods are effective, true breakthroughs require models to compress new information into weights post-deployment, moving from mere retrieval to genuine learning.

marsbit1 ч. назад

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

marsbit1 ч. назад

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

An individual manipulated a weather sensor at Paris Charles de Gaulle Airport with a portable heat source, causing a Polymarket weather market to settle at 22°C and earning $34,000. This incident highlights a fundamental issue in prediction markets: when a market aims to reflect reality, it also incentivizes participants to influence that reality. Prediction markets operate on two layers: platform rules (what outcome counts as a win) and data sources (what actually happened). While most focus on rules, the real vulnerability lies in the data source. If reality is recorded through a specific source, influencing that source directly affects market settlement. The article categorizes markets by their vulnerability: 1. **Single-point physical data sources** (e.g., weather stations): Easily manipulated through physical interference. 2. **Insider information markets** (e.g., MrBeast video details): Insiders like team members use non-public information to trade. Kalshi fined a剪辑师 $20,000 for insider trading. 3. **Actor-manipulated markets** (e.g., Andrew Tate’s tweet counts): The subject of the market can control the outcome. Evidence suggests Tate’sociated accounts coordinated to profit. 4. **Individual-action markets** (e.g., WNBA disruptions): A single person can execute an event to profit from their pre-placed bets. Kalshi and Polymarket handle these issues differently. Kalshi enforces strict KYC, publicly penalizes insider trading, and reports to regulators. Polymarket, with its anonymous wallet-based system, has historically been more permissive, arguing that insider information improves market accuracy. However, it cooperated with authorities in the "Van Dyke case," where a user traded on classified government information. The core paradox is reflexivity: prediction markets are designed to discover truth, but their financial incentives can distort reality. The more valuable a prediction becomes, the more likely participants are to influence the event itself. The market ceases to be a mirror of reality and instead shapes it.

marsbit2 ч. назад

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

marsbit2 ч. назад

Торговля

Спот
Фьючерсы
活动图片