$100M Underground Remittance Network Using Crypto, WeChat Dismantled In South Korea

bitcoinistPubblicato 2026-01-20Pubblicato ultima volta 2026-01-20

Introduzione

South Korean authorities have dismantled an underground remittance network that moved approximately $102 million (150 billion won) across borders using mobile payment apps like WeChat Pay and Alipay and cryptocurrencies. The scheme, which operated from September 2021 to June 2023, involved collecting funds from customers via the apps, converting the money into crypto abroad, and then cashing it out into South Korean bank accounts after transferring the digital assets to local wallets. To evade detection, the group disguised the transactions as payments for common services such as cosmetic surgery, study abroad fees, and trade-related costs. Three Chinese nationals have been arrested and face charges under foreign exchange laws. The case highlights the growing use of combined traditional and digital payment channels for illicit fund movements, prompting South Korea to strengthen regulations on crypto exchanges and mobile wallets.

Seoul investigators say they have disrupted a secret money-transfer network that moved roughly 150 billion won—about $102 million—into and out of South Korea using a mix of mobile payment apps and cryptocurrencies.

Reports say three people have been formally accused under the country’s foreign exchange laws after a probe that traced the scheme over several years.

How Money Moved Through Apps

According to the Korea Customs Service, the group collected money from customers using platforms like WeChat Pay and Alipay, then used those funds to buy virtual coins abroad.

Those coins were shifted into digital wallets in Korea and converted to Korean won through many bank accounts.

The pattern was basic and careful. Cash or mobile transfers arrived from overseas. Crypto purchases followed in multiple countries to avoid any one regulator seeing the full trail.

Finally, the funds were funneled into local accounts under different names. This took place over a long window, from September of 2021 until June of last year, investigators say.

Bitcoin is currently trading at $92,895. Chart: TradingView

Covering Tracks With Everyday Costs

According to reports, the ring hid the origin of money by dressing transfers up as ordinary expenses — payments for cosmetic surgery, fees for overseas study, and trade-related charges. Those labels made the flows look normal on paper and helped the group slip past routine checks.

Bank transfers were layered with small, seemingly legitimate payments. That made suspicious activity harder to spot until customs officers pieced together patterns across accounts and platforms.

At that point, the scope became clear: these were not isolated transfers but a linked series of transactions designed to wash large sums.

Image: Getty Images

What Authorities Recovered

Investigators arrested and referred three Chinese nationals for prosecution, saying the suspects handled the bulk of the scheme’s operations.

Records show almost 150 billion won was moved in the period under review. Authorities have opened cases under the foreign exchange transactions law and are seeking to trace the remaining funds.

The case underlines how easy it can be for cross-border payment tools and crypto markets to be used together.

Regulators in Korea have been tightening rules for both mobile wallets and exchanges in recent months, and courts have allowed seizures of crypto assets in criminal probes. That legal backdrop helped the customs office act when the patterns surfaced.

Featured image from Dao Insights, chart from TradingView

Domande pertinenti

QWhat was the total amount of money moved by the underground remittance network in South Korea, and what was the equivalent in US dollars?

AThe network moved approximately 150 billion won, which is equivalent to about $102 million.

QWhich mobile payment apps and methods were used by the group to collect money from customers?

AThe group used platforms like WeChat Pay and Alipay to collect money from customers.

QHow did the group disguise the illegal money transfers to avoid detection by authorities?

AThey disguised transfers as ordinary expenses such as payments for cosmetic surgery, fees for overseas study, and trade-related charges to make them appear normal and avoid routine checks.

QWhat was the role of cryptocurrencies in this underground remittance network?

AThe group used the collected funds to buy virtual coins abroad, which were then transferred to digital wallets in South Korea and converted to Korean won through multiple bank accounts.

QHow many people were formally accused in connection with this scheme, and what nationality were the main suspects?

AThree Chinese nationals were arrested and referred for prosecution, as they handled the bulk of the scheme's operations.

Letture associate

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

marsbit14 min fa

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

marsbit14 min fa

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbit25 min fa

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbit25 min fa

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit1 h fa

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit1 h fa

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit1 h fa

Token Inefficient, Economy Tokenless

marsbit1 h fa

Trading

Spot
Futures
活动图片