After National Intervention: The Reshaping of the 2025 Cryptocurrency Crime Landscape

比推Published on 2026-01-12Last updated on 2026-01-12

Abstract

State-level actors significantly increased cryptocurrency-related activities in 2025, marking a new phase of maturity for illegal on-chain ecosystems. Illicit addresses received at least $154 billion, a 162% year-over-year increase, largely driven by a 694% surge in transactions involving sanctioned entities. Stablecoins dominated illegal transactions, accounting for 84% of the total. North Korean hackers stole a record $2 billion, including a historic $1.5 billion attack on Bybit. Russia launched the rubleksandrovich (A7A5) token to evade sanctions, processing over $93.3 billion in transactions within a year. Iranian proxy networks and China-based money laundering groups also expanded operations, offering specialized criminal services like fraud, terror financing, and sanctions evasion. Illegal infrastructure providers now offer full-stack services—domain registration, hosting, and technical support—enabling both cybercriminals and state actors to scale malicious activities. Cryptocurrency is increasingly linked to real-world violence, including human trafficking and coerced asset transfers. Despite illicit activity growing, it remains below 1% of all traceable cryptocurrency transactions. Collaboration among law enforcement, regulators, and crypto firms is critical to address these evolving threats.

Written by: Chainalysis

Compiled by: Chopper, Foresight News

Original Title: National-Level Players Enter the Scene, Deciphering the Loss of Control and Transformation of Cryptocurrency Crime in 2025


In 2025, we observed a significant increase in cryptocurrency-related activities at the national level, marking a new mature phase in the development of the illegal on-chain ecosystem. Over the past few years, the professionalization within the cryptocurrency crime sphere has deepened; illegal organizations have now established large-scale on-chain infrastructure to support transnational criminal networks in procuring goods and services and laundering proceeds from crypto crimes. Against this backdrop, national governments have also begun to venture into this domain. On one hand, they leverage these mature professional service providers, and on the other, they are building customized, exclusive infrastructure to evade sanctions on a large scale. As governments tap into this illicit cryptocurrency supply chain originally created for cybercriminals and organized crime groups, government agencies, compliance, and security teams now face severe challenges in terms of consumer rights protection and national security.

What are the specific on-chain manifestations of these developments and other industry changes? Next, we will analyze them by combining data with macro trends.

According to our monitoring data, the scale of funds flowing into illegal cryptocurrency addresses in 2025 reached at least $154 billion, a sharp increase of 162% year-on-year. This growth was primarily driven by a surge in fund inflows to sanctioned entities, which skyrocketed by 694% year-on-year. However, even after excluding the growth from sanctioned entities, 2025 still stands as a record year for cryptocurrency crime, as the scale of most illegal activity categories saw growth.

Nevertheless, the scale of these illegal transactions still pales in comparison to the overall cryptocurrency economy, where the main body of transactions remains legitimate. We estimate that although the proportion of illegal transactions in the total traceable cryptocurrency transaction volume in 2025 increased slightly compared to 2024, it remains below 1%.

As shown in the figure below, we also observed a continuous shift in the types of assets involved in cryptocurrency crimes.

Over the past few years, stablecoins have gradually become the dominant asset in illegal transactions, currently accounting for 84% of the total illegal transaction volume. This trend aligns with the overall development characteristics of the cryptocurrency ecosystem: with advantages such as convenience for cross-border transfers, low volatility, and wide application scenarios, the share of stablecoins in the entire cryptocurrency transaction volume continues to expand.

The following sections will delve into the core trends that defined the 2025 cryptocurrency crime landscape, trends that will remain important to focus on in the future.

National-Level Threats Drive Transaction Volume: North Korean Thefts Hit Record High, Russia's A7A5 Token Facilitates Large-Scale Sanction Evasion

In 2025, stolen funds remained a major threat to the cryptocurrency ecosystem, with hacking groups linked to North Korea alone stealing $2 billion. This figure was primarily driven by several highly destructive large-scale hacking incidents, the most notable being the attack on the Bybit exchange in February. This incident involved nearly $1.5 billion, making it the largest digital asset theft in the history of cryptocurrency. Although North Korean hackers have long been a major force threatening the cryptocurrency ecosystem, the past year saw record highs both in the amount stolen and in the sophistication of their intrusion and money laundering methods.

Particularly noteworthy is that the scale of on-chain activities reached unprecedented levels in 2025. Russia introduced relevant legislation in 2024 to use cryptocurrency to evade sanctions, and this measure was formally implemented in February 2025. The country launched the ruble-backed token A7A5, which saw its transaction volume exceed $93.3 billion in less than a year since its launch.

Meanwhile, over the past few years, Iran's proxy networks have conducted money laundering, illegal oil trading, and bulk commodity procurement for weapons on-chain through verifiable wallet addresses that have been placed on sanctions lists, with a cumulative transaction volume exceeding $2 billion. Despite suffering multiple military strikes, terrorist groups supported by Iran, such as Hezbollah, Hamas, and the Houthis, continue to use cryptocurrency on an unprecedented scale.

In 2025, Chinese money laundering networks emerged as a dominant force in the illegal on-chain ecosystem. These organizations operate with sophisticated models, greatly promoting the diversification and professionalization of cryptocurrency crime, offering various specialized criminal services including "money laundering services." Building upon early illegal operation models like "Huiyin Guarantee," these networks have established full-service criminal enterprises, covering businesses in multiple areas such as fraud, scams, laundering proceeds from North Korean hacker thefts, sanction evasion, and terrorism financing.

Full-Stack Illegal Infrastructure Providers Fuel Malicious Cyber Activities

While governments increase their use of cryptocurrency, traditional cybercrime activities remain rampant: ransomware operators, child sexual abuse and cybercrime platforms, malware distributors, scammers, and illegal marketplaces still rely on vast support networks to maintain operations. Illicit actors and national governments are increasingly dependent on on-chain infrastructure providers that offer full-stack services, including domain registrars, secure and reliable hosting services, and other technical infrastructure that can be used to carry out malicious cyber activities.

These infrastructure providers have evolved into comprehensive infrastructure platforms capable of resisting platform takedowns, abuse complaints, and sanction enforcement. As the scale of these services continues to expand, they may become a key force driving economic crime and state-supported entities to expand the scope of malicious cyber activities.

Growing Correlation Between Cryptocurrency and Violent Crime

In the perception of many, cryptocurrency crime is still confined to the virtual world. The masterminds are merely anonymous figures hiding behind keyboards, not posing a threat in the real world. But in fact, the connection between on-chain activities and violent crime is deepening. Human trafficking gangs are using cryptocurrency for transactions more and more; at the same time, disturbingly, the number of violent coercion attack cases has risen significantly, where criminals use violent means to force victims to transfer crypto assets, and such assaults often occur during peak cryptocurrency price periods.

Looking ahead, collaboration between law enforcement agencies, regulatory bodies, and cryptocurrency companies will be key to addressing these complex, evolving, and interconnected threats. Although the proportion of illegal transactions in the legitimate cryptocurrency transaction volume remains limited, maintaining the integrity and security of the cryptocurrency ecosystem has never been more important.


Twitter:https://twitter.com/BitpushNewsCN

Bitpush TG Discussion Group:https://t.me/BitPushCommunity

Bitpush TG Subscription: https://t.me/bitpush

Original link:https://www.bitpush.news/articles/7601752

Related Questions

QWhat was the total value of illicit cryptocurrency transactions in 2025, and what was the primary driver of this growth?

AThe total value of illicit cryptocurrency transactions in 2025 reached at least $154 billion, a 162% year-over-year increase. This growth was primarily driven by a 694% surge in inflows to sanctioned entities.

QWhich asset has become the dominant currency for illicit transactions, and what percentage of the total illicit volume does it represent?

AStablecoins have become the dominant asset for illicit transactions, representing 84% of the total illicit transaction volume.

QWhich country's state-sponsored groups set a new record for cryptocurrency theft in 2025, and what was the most notable attack?

ANorth Korean hacking groups set a new high for cryptocurrency theft in 2025, stealing $2 billion. The most notable attack was the February hack of the Bybit exchange, which resulted in a loss of nearly $1.5 billion, making it the largest digital asset theft in cryptocurrency history.

QWhat new token did Russia launch in 2025 to facilitate large-scale sanctions evasion, and what was its trading volume?

ARussia launched the ruble-backed token A7A5 in 2025 to facilitate large-scale sanctions evasion. Its trading volume surpassed $93.3 billion in less than a year.

QAccording to the article, what is an emerging and concerning trend regarding the link between cryptocurrency and real-world crime?

AAn emerging and concerning trend is the increasing link between on-chain activity and violent crime. This includes human trafficking networks using crypto for transactions and a significant rise in violent coercion attacks, where victims are forced under duress to transfer crypto assets, often during periods of peak cryptocurrency prices.

Related Reads

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit27m ago

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit27m ago

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit32m ago

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit32m ago

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit32m ago

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit32m ago

Trading

Spot
活动图片