NanoBit thua kiện SEC với số tiền phạt lên tới 5,52 triệu USD – Đây là cách thức

ambcryptoPublished on 2026-06-30Last updated on 2026-06-30

Abstract

Ủy ban Chứng khoán và Giao dịch Hoa Kỳ (SEC) đã giành chiến thắng trong vụ kiện chống lại NanoBit, một công ty bị cáo buộc thực hiện chiêu thức "vặt lợn" từ tháng 9/2023 đến tháng 6/2024. Những kẻ lừa đảo đã sử dụng ứng dụng nhắn tin như WhatsApp để tiếp cận và lừa nạn nhân đầu tư vào các đợt chào bán tiền điện tử lừa đảo của NanoBit, hứa hẹn lợi nhuận cao bất thường. Công ty này còn tuyên bố sai sự thật rằng công ty liên kết NanobitUS Securities đã đăng ký với SEC. Ngày 29/6, Tòa án Quận Đông New York ra phán quyết cuối cùng chống lại hai cá nhân và bốn tổ chức liên quan. Thẩm phán Sanket J. Bulsara tuyên bố không có giao dịch nào thực sự diễn ra trên nền tảng NanoBit, và tiền của nhà đầu tư đã bị chuyển đến những người tham gia sơ đồ lừa đảo, với hơn 2 triệu USD được chuyển đến tài khoản ngân hàng ở Hồng Kông. Theo phán quyết, tất cả bị đơn bị cấm vĩnh viễn vi phạm các điều khoản chống gian lận của luật chứng khoán Hoa Kỳ. Họ bị yêu cầu phải trả tổng cộng gần 5,52 triệu USD tiền phạt, bao gồm tiền lãi, phạt dân sự và hoàn trả lợi nhuận bất hợp pháp. NanoBit phải nộp khoản tiền lớn nhất, khoảng 1,8 triệu USD.

Ủy ban Chứng khoán và Giao dịch Hoa Kỳ (SEC) cuối cùng cũng đã thắng kiện chống lại NanoBit. Theo ngữ cảnh, SEC cáo buộc rằng trong khoảng thời gian từ tháng 9 năm 2023 đến tháng 6 năm 2024, các bị đơn đã điều hành một kế hoạch ‘mổ lợn’ (pig butchering scheme). Để giành được lòng tin của nạn nhân và dụ họ đầu tư vào NanoBit, những kẻ lừa đảo được cho là đã sử dụng các ứng dụng nhắn tin như WhatsApp để liên hệ.

Trên thực tế, để trông có vẻ hợp pháp, NanoBit đã quảng cáo các đợt phát hành tiền điện tử ban đầu (ICO) giả mạo hứa hẹn lợi nhuận cao bất thường. Công ty này cũng tuyên bố sai sự thật rằng công ty liên kết của mình, NanobitUS Securities, là một nhà môi giới đã đăng ký với SEC.

SEC đã thắng kiện chống lại NanoBit dựa trên những căn cứ nào?

Vào ngày 29 tháng 6, SEC đã công bố chiến thắng của mình. Thông báo này được đưa ra gần hai tuần sau khi Tòa án Quận Hoa Kỳ cho Quận Đông New York ra phán quyết cuối cùng chống lại hai cá nhân và bốn tổ chức có liên quan đến vụ lừa đảo NanoBit.

Bình luận về vụ việc, Thẩm phán Quận Hoa Kỳ Sanket J. Bulsara tuyên bố,

Theo cáo buộc, không có giao dịch nào diễn ra trên nền tảng NanoBit và tiền đầu tư của các nhà đầu tư thực chất đã chuyển đến những người tham gia kế hoạch, những người đã chuyển hơn 2 triệu USD vào tài khoản ngân hàng ở Hồng Kông và biển thủ hàng trăm nghìn USD tài sản tiền điện tử của nhà đầu tư.

Ngoài NanoBit, SEC cũng giành chiến thắng trước Radiant Horizons Limited, Sweet Karma Fashion Inc., và Zhao Tropical Deli Inc. Hơn nữa, hai cá nhân, bao gồm Jiajie Liu và Hua Zhao, cũng bị đưa vào vì không phản hồi lại vụ kiện của cơ quan quản lý.

Sau khi xem xét mọi việc, phán quyết cuối cùng của tòa án bao gồm lệnh cấm vĩnh viễn đối với tất cả các bị đơn vi phạm các điều khoản chống gian lận quan trọng trong luật chứng khoán Hoa Kỳ.

Khoản tiền phạt áp đặt lên NanoBit và những bên khác

Do đó, các bị đơn đã được lệnh phải trả tổng cộng gần 5,52 triệu USD tiền phạt tài chính. Khoản này bao gồm lãi trước khi phán quyết để bồi thường cho thời gian họ nắm giữ các khoản lợi nhuận bất hợp pháp, các khoản tiền phạt dân sự nhằm trừng phạt và ngăn chặn hành vi sai trái trong tương lai, và việc tịch thu lợi nhuận, yêu cầu họ phải giao nộp lợi nhuận thu được thông qua hành vi phi pháp.

Không cần phải nói, khoản tiền phạt lớn nhất được áp đặt lên NanoBit, nợ khoảng 1,8 triệu USD. Trong khi đó, Radiant Horizons, Sweet Karma và Zhao Deli đều bị yêu cầu phải trả hơn 1,18 triệu USD.

Kết thúc phán quyết, Thẩm phán Bulsara nói thêm,

Việc không tuân thủ của các Bị đơn là cố ý; do việc không tuân thủ này, không có biện hộ hợp lý nào được trình lên Tòa án; và vì không có phương án thay thế nào để đạt được biện pháp khắc phục đang tìm kiếm, SEC sẽ phải chịu thiệt hại bất công nếu không có quyết định xử lý vi phạm.


Tóm tắt Cuối cùng

  • NanoBit đã sử dụng các đợt phát hành tiền điện tử ban đầu (ICO) giả mạo làm chiến thuật để giành được lòng tin của nạn nhân.
  • Các bị đơn đã được lệnh phải trả tổng cộng gần 5,52 triệu USD tiền phạt tài chính.

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Related Questions

QNanoBit đã sử dụng phương thức gian lận nào để lừa đảo các nạn nhân?

ANanoBit đã vận hành một kế hoạch 'vỗ béo heo' (pig butchering scheme), liên hệ với nạn nhân qua các ứng dụng nhắn tin như WhatsApp để giành lấy sự tin tưởng. Họ quảng cáo các đợt chào bán tiền mã hóa (ICO) giả mạo hứa hẹn lợi nhuận cao bất thường và tuyên bố sai sự thật rằng công ty liên kết của họ, NanobitUS Securities, là một nhà môi giới được SEC đăng ký.

QSEC giành chiến thắng trước NanoBit trên cơ sở pháp lý nào?

ATòa án quận Hoa Kỳ tại Đông New York đã ra phán quyết cuối cùng chống lại hai cá nhân và bốn tổ chức liên quan đến vụ lừa đảo NanoBit. Thẩm phán Sanket J. Bulsara chỉ ra rằng không có giao dịch nào thực sự diễn ra trên nền tảng NanoBit, tiền của nhà đầu tư thực chất được chuyển cho những người tham gia kế hoạch, bao gồm chuyển hơn 2 triệu USD đến tài khoản ngân hàng ở Hồng Kông và chiếm đoạt hàng trăm nghìn đô la tài sản tiền mã hóa của nhà đầu tư.

QTổng số tiền phạt mà các bị đơn trong vụ NanoBit phải trả là bao nhiêu và gồm những khoản nào?

ACác bị đơn bị yêu cầu phải trả tổng cộng gần 5.52 triệu USD tiền phạt tài chính. Số tiền này bao gồm: tiền lãi trước khi xét xử (pre-judgment interest) để bù đắp thời gian họ giữ lợi nhuận bất hợp pháp, tiền phạt dân sự (civil penalties) để trừng phạt và ngăn chặn hành vi sai trái trong tương lai, và khoản tịch thu lợi nhuận (disgorgement) yêu cầu họ phải trả lại lợi nhuận có được từ hành vi phi pháp.

QCông ty NanoBit phải chịu mức phạt riêng là bao nhiêu?

ANanoBit bị áp dụng mức phạt lớn nhất, phải nộp khoảng 1.8 triệu USD.

QPhán quyết cuối cùng của tòa án bao gồm những biện pháp trừng phạt nào ngoài việc phạt tiền?

ABên cạnh việc phạt tiền, phán quyết cuối cùng của tòa án bao gồm lệnh cấm vĩnh viễn đối với tất cả các bị đơn vi phạm các điều khoản chống gian lận quan trọng trong luật chứng khoán Hoa Kỳ.

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Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

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