С Coinbase утекли данные 69 тыс. клиентов. Что будет делать криптобиржа

cryptonews.ruPublicado a 2022-06-21Actualizado a 2025-05-21

Платформа уведомила прокуратуру о числе клиентов, личная информация которых стала доступна злоумышленникам в декабре 2024 года, что позволило украсть десятки миллионов долларов

В результате утечки информации с криптобиржи Coinbase в декабре 2024 года были скомпрометированы персональные данные 69 461 человека. Об этом говорится в уведомлении, поданном юристами биржи в прокуратуру штата Мэн (США).

Утечка данных, согласно документу, произошла 26 декабря 2024 года, а была обнаружена 11 мая 2025 года. Подробности инцидента стали известны после того, как в середине мая Coinbase сообщила, что злоумышленники потребовали выкуп в размере $20 млн, угрожая опубликовать украденные данные в даркнете. Coinbase отказалась платить и объявила награду в размере той же суммы за информацию, которая поможет поймать преступников.

Выяснилось, что злоумышленники подкупили сотрудников службы поддержки клиентов биржи, чтобы получить доступ к данным пользователей. Ранее в Coinbase заявляли, что взлом затронул менее 1% ее клиентов.

rbc.group

Среди утекших данных — имена, адреса, телефоны, email, банковские реквизиты, фотографии документов и история транзакций. Пароли и средства пользователей не были затронуты в ходе взлома. Но благодаря полученным данным злоумышленники позже смогли украсть десятки миллионов долларов, используя методы социальной инженерии.

Компания оценивает возможные расходы на расследование, компенсации клиентам и усиление защиты в диапазоне от $180 млн до $400 млн. Согласно заявлению в прокуратуру, 30 мая биржа должна разослать индивидуальные уведомления пользователям, чьи данные были похищены.

В документе также говорится, что биржа предлагает всем пострадавшим один год бесплатного мониторинга и защиты личных данных. Эта услуга включает в себя кредитный мониторинг (отслеживание любых изменений в кредитной истории, которые могут обладать признаками мошенничества), страховой полис на $1 млн, восстановление личных данных, а также мониторинг даркнета для выявления информации, доступной на нелегальных онлайн-форумах.

Минюст США проводит расследование инцидента по запросу Coinbase. Также, по информации The Block, после отчетов криптоплатформы об утечке Комиссия по ценным бумагам и биржам США (SEC) начала официальное расследование того, не завышала ли Coinbase информацию о количестве клиентов перед первичным публичным размещением акций в 2021 году.

Ранее на проблемы с безопасностью и кражей пользовательских средств у клиентов Coinbase неоднократно обращал внимание известный криптодетектив ZachXBT, регулярно указывая на атаки с использованием социальной инженерии и подменой сим-карт. Один из пользователей Coinbase, чьи данные, предположительно, утекли, рассказал, что мошенники звонят клиентам биржи и убеждают перевести криптовалюту на созданный ими «безопасный» кошелек.

Lecturas Relacionadas

Deep Insight: Decentralized Inference is Not Hype, but a Key Track for AI to Break Through Centralized Monopoly

Decentralized Reasoning: Beyond the Hype, a Key to Breaking AI's Centralized Monopoly A future scenario where a powerful AI model is banned by a major government illustrates the core value proposition of decentralized AI: resistance to censorship. The core bet of decentralized inference networks is mitigating this risk, with other benefits like cost being secondary. The path is extremely difficult, involving four key challenges: 1. **Running Massive Models:** Distributing a single model across a decentralized GPU swarm requires sophisticated techniques like pipeline and speculative decoding to overcome crippling network latency, aiming for usable speeds (e.g., 30-40 tokens/second). 2. **Proving Model Integrity:** Verifying that a node runs the correct model is critical. Solutions range from cryptographically secure but slow ZKML to faster, economically-secure methods like statistical fingerprints, deterministic re-execution, or live-weight proofs, each involving trade-offs between integrity, latency, and cost. 3. **Ensuring Prompt Privacy:** Simply sharding a model does not protect user inputs from nodes. Robust solutions currently require trusted hardware (TEEs) or advanced cryptography (FHE), which are not yet widely deployed in consumer swarms. 4. **Building a Real Market:** Identifying the ideal customer is tough. Beyond speculative AI agents, the viable market currently consists of startups embedding AI and projects needing batch processing (e.g., synthetic data generation), where decentralized aggregation can be an advantage over low-latency needs. The article analyzes several projects tackling these problems, such as Dolphin Network (live-weight proofs), Inference.net (statistical verification), Morpheus (TEE-based), and Darkbloom (Apple Secure Enclave). It provides a framework: decentralization is a "tax" for latency-sensitive applications (e.g., chat) but a potential supply-side advantage for throughput-oriented tasks (e.g., batch processing). The long-term vision is a closed data loop where decentralized inference generates valuable data (traces, preferences) to feed decentralized training networks, which in turn produce better open-weight models for the inference networks. A due diligence checklist advises focusing on projects that: are truly decentralized at specific layers; have a credible integrity method; offer real cost benefits; ensure genuine privacy; handle node reliability; have paying users; and are built by teams with deep AI expertise. The ultimate goal should be products that appeal beyond the crypto-native audience, using crypto mechanisms invisibly to deliver better cost, performance, or privacy.

Foresight NewsHace 6 min(s)

Deep Insight: Decentralized Inference is Not Hype, but a Key Track for AI to Break Through Centralized Monopoly

Foresight NewsHace 6 min(s)

Warsh’s First FOMC Chairmanship: Fed Provides Less Rate Guidance, Will US Bonds Become More Expensive?

Fed Chair Kevin Warsh's first FOMC meeting in June 2026 marked a shift in communication policy. The Fed held rates steady at 3.50%-3.75% but removed some forward guidance from its statement, and Warsh did not submit his own "dot plot" interest rate forecast. The move reduces clear signals on future policy paths, which bond markets interpreted as introducing greater uncertainty. Consequently, short-term Treasury yields, like the 2-year, rose to multi-month highs as investors demanded higher yields to compensate for increased policy judgment risk. Warsh aims to break the "echo chamber" where markets overly focus on Fed signals rather than economic fundamentals. While some investors welcome potential reduced market speculation, others worry that less clarity will amplify volatility and raise borrowing costs. The review of Fed communication tools underscores a debate on balancing transparency with policy flexibility in a higher-rate environment.

marsbitHace 12 min(s)

Warsh’s First FOMC Chairmanship: Fed Provides Less Rate Guidance, Will US Bonds Become More Expensive?

marsbitHace 12 min(s)

The Final Piece of Franklin Templeton's Crypto Ambition

Franklin Templeton Completes Crypto Ambition with Acquisition of 250 Digital On June 22, Franklin Templeton announced the acquisition of 250 Digital and established Franklin Crypto, a new division focused on actively managed cryptocurrency strategies for institutional investors. The unit is led by Christopher Perkins and Seth Ginns. This acquisition marks a key piece in Franklin Templeton's multi-year crypto strategy, which began in 2018 with a digital assets team. The firm's crypto product suite now spans three layers: tokenized funds like the blockchain-based money market fund BENJI (~$831M AUM); a series of passive ETFs including Bitcoin (EZBC, ~$368M), Ethereum (EZET), XRP (XRPZ, ~$252M), Solana (SOEZ), and a multi-crypto index fund (EZPZ); and the newly added active management strategies from Franklin Crypto. The company has also expanded its crypto ecosystem through investments in projects like Ethena and Crossmint, and collaborations with blockchains such as Aptos and Sui. With approximately $18B in digital asset AUM and a total firm AUM of ~$1.78T, Franklin Templeton is positioning itself as a comprehensive crypto asset manager for pensions and sovereign wealth funds. In contrast, competitor Fidelity Investments has taken a different path, focusing early on building its own custody and trading infrastructure. Fidelity's Bitcoin ETF (FBTC) holds over $11B, significantly larger than Franklin Templeton's equivalent offering. Both giants' moves underscore the deepening trend of traditional finance entering the crypto space.

Foresight NewsHace 30 min(s)

The Final Piece of Franklin Templeton's Crypto Ambition

Foresight NewsHace 30 min(s)

Fed Chair Kevin Warsh Faces Congress on July 14 Amid Rate Hike Debate

Federal Reserve Chair Kevin Warsh will testify before the House Financial Services Committee on July 14, providing his first monetary policy assessment to Congress. This hearing occurs weeks before the Federal Open Market Committee's next meeting and fulfills the Fed's biannual reporting requirement. Investors are closely watching for insights on inflation and interest rates. Attention has shifted to the upcoming Personal Consumption Expenditures price index data, with May's figures expected to show a 0.5% monthly increase. Due to persistent inflation, some institutions like Bank of America now forecast three quarter-point rate hikes in September, October, and December, a shift from earlier expectations of no changes this year. Markets currently see a low probability of a July rate hike but are increasingly pricing in tightening later in the year, with CME FedWatch data indicating over a 50% chance of a move by September.

TheNewsCryptoHace 32 min(s)

Fed Chair Kevin Warsh Faces Congress on July 14 Amid Rate Hike Debate

TheNewsCryptoHace 32 min(s)

How Did Its Biggest Rival, Yushu, Split Up Again?

China's humanoid robotics firm Zhiyuan has spun off another company, Mbee Technology, focusing on data collection and processing for embodied AI. Amid a severe "data famine" in the embodied intelligence industry, high-quality real-world interaction data is seen as critical as computing power was for large language models. While teleoperated robots provide high-quality data, the process is expensive. Mbee aims to scale data collection through "embodiment-free" wearable devices and offers a data governance platform and marketplace. However, as a Zhiyuan affiliate, Mbee must prove its neutrality to attract competitors. It faces competition from other data platform players like JD.com. The success of its ambitious goal to reach tens of millions of hours of data capacity by 2026 hinges on gaining industry trust and demonstrating the value of its standardized data supply.

marsbitHace 33 min(s)

How Did Its Biggest Rival, Yushu, Split Up Again?

marsbitHace 33 min(s)

Trading

Spot

Futuros