比特币“安全神话”破灭:电诈集团150亿美元比特币被美国政府查获!分散在25个钱包却被“一锅端”,怎么做到的?专家解读
Mei Ri Jing Ji Xin Wen·2025-10-21 09:13

Core Insights - The U.S. Department of Justice has filed criminal charges against Chen Zhi, founder and chairman of Prince Holding Group, and initiated a civil forfeiture lawsuit to seize approximately 127,271 bitcoins valued at around $15 billion, linked to telecom fraud and money laundering activities [1][4]. Group 1: Legal Actions and Financial Implications - The case represents one of the largest financial crackdowns in U.S. history, with the seized bitcoins being the highest quantity ever confiscated [4]. - The DOJ's civil forfeiture lawsuit aims to formally claim the bitcoins currently held by the U.S. government [4]. - Chen Zhi allegedly used a vast business network across over 30 countries to operate forced labor scam centers, resulting in billions of dollars in fraudulent gains [4]. Group 2: Mechanisms of Bitcoin Seizure - The bitcoins were stored in 25 unhosted wallets controlled by Chen Zhi, raising questions about how U.S. authorities managed to access these wallets [1][11]. - Experts suggest that potential methods for accessing the private keys include cooperation from insiders under judicial pressure, technical vulnerabilities, or even internal informants [3][17]. Group 3: Money Laundering Techniques - Chen Zhi established a complex money laundering system, utilizing "money houses" to process illicit funds through techniques like "spraying" and "funneling" [6][9]. - The "spraying" technique involves breaking down large sums into numerous smaller transactions to obscure the original source, while "funneling" consolidates these dispersed funds back into fewer addresses [6]. - The group also leveraged cryptocurrency mining as a means to launder money, claiming that profits from mining operations were derived from scam proceeds [8][9]. Group 4: Technological Advances in Law Enforcement - The FBI's success in tracing the funds is attributed to advanced blockchain analysis techniques, including the use of graph neural networks to identify unusual transaction patterns [14][15]. - The agency employed a combination of blockchain analysis platforms, mixing service tracing technologies, and multi-modal data fusion to build a comprehensive evidence chain linking victims to the criminal organization [15][14]. Group 5: Regulatory Implications - The case highlights the evolving landscape of anti-money laundering efforts, indicating a shift towards technology-driven approaches in combating virtual currency-related crimes [23]. - Experts suggest that regulatory frameworks need to adapt to include new asset classes like NFTs and DeFi, enhancing due diligence and transaction monitoring requirements for virtual asset service providers [23].