В сети Monad обнаружены поддельные переводы токенов в первые дни после запуска

cryptonews.ruPublicado em 2025-11-26Última atualização em 2025-11-26

Главное:

  • Мошенники подделывали отображение переводов ERC-20.
  • Фейковые транзакции выглядели как стандартные переводы в обозревателях, хотя фактически средства не перемещались и подписи кошельков отсутствовали.

Пользователи Monad столкнулись с поддельными переводами токенов спустя два дня после запуска основной сети и токена MON. Злоумышленники начали подделывать транзакции ERC-20, которые обозреватели отображали как настоящие переводы, хотя фактического движения средств не происходило. Атака пришлась на период высокой активности в сети, когда пользователи впервые получали свои токены и создавали новые кошельки.

О проблеме сообщил технический директор и сооснователь проекта Джеймс Хансейкер. Он объяснил, что мошенники развернули контракты, имитирующие интерфейс ERC-20, и вставляли фиктивные записи о переводах, подменяя события внутри собственных контрактов. Это позволяло поддельным транзакциям выглядеть законными, несмотря на отсутствие подписей и отсутствующее перемещение активов.

В сети Monad обнаружены поддельные переводы токенов в первые дни после запуска

Источник: X.com

Как работают поддельные переводы ERC-20

Хансейкер подчеркнул, что проблема не связана с уязвимостью в самом блокчейне Monad. Создатели вредоносных смарт-контрактов генерировали события, полностью совместимые со стандартом ERC-20, что позволяло обозревателям воспринимать их как обычные операции. Некоторые контракты создавали даже ложные запросы на обмен токенов, имитируя торговую активность в экосистеме MON.

Специалист по безопасности Slowmist Шан Чжан рассказал, что в период запуска новых сетей мошенники активно эксплуатируют отсутствие истории транзакций у пользователей. Они создают адреса почти идентичные реальным, совпадающие по первым и последним символам. После этого жертвам рассылают фейковые переводы, которые могут появляться в истории как последние входящие транзакции.

Чжан отметил, что большинство подобных атак опираются на «переводы с нулевой стоимостью», которые допускает стандарт ERC-20. Отличить настоящую активность можно по инициатору транзакции и адресу контракта токена. Если пользователь не подписывал транзакцию, то реального перевода не происходило — подделка появляется только в логах событий, но не затрагивает баланс кошелька.

Рыночная капитализация Monad

Источник: Сoingecko.com

Фейковые переводы появились на фоне увеличения интереса к сети после запуска. За месяц более 76 000 кошельков запросили токены MON, но доступ получили только в день запуска. Цена токена выросла на 19% через сутки после старта, а затем поднялась на 43% за день. Рыночная капитализация достигла $500 млн, по данным CoinGecko.

Criptomoedas em alta

ctr
CitreaCTR
wstusdt
wrapped stUSDTWSTUSDT
apr
aPrioriAPR
ctx
Cryptex FinanceCTX
audio
AudiusAUDIO
mantra
MantraMANTRA
xvs
VenusXVS
waxl
AxelarWAXL
bill
Billions NetworkBILL
pyth
PYTH (Pyth)PYTH
rune
THORChainRUNE
brev
BrevisBREV
zrx
ZRX（0X）ZRX
cake
PancakeSwapCAKE
jst
JUSTJST

Leituras Relacionadas

Litecoin ETF’s Slow Start Shows Altcoin Funds Still Face A Demand Test

The Canary Capital spot Litecoin ETF (LTCC) has had a slow start, with reported inflows of around $9.3 million since launch and assets under management at a lower level. This highlights the significant gap in institutional demand compared to Bitcoin and Ethereum ETFs. While Litecoin has an established history, its more modest narrative around payments and longevity hasn't yet made it a must-own institutional product. The case demonstrates that regulatory approval alone does not guarantee strong investor allocation. For the broader altcoin ETF thesis, future products may see different demand, but Bitcoin and Ethereum are likely to remain the primary institutional channels for the foreseeable future.

bitcoinistHá 19m

Litecoin ETF’s Slow Start Shows Altcoin Funds Still Face A Demand Test

bitcoinistHá 19m

The Entire Internet Hails Noam's Joining, But OpenAI's Loss Bill Just Got Thicker

While the AI community celebrates Noam Shazeer, co-author of the "Attention Is All You Need" paper, joining OpenAI as Head of Architectural Research, the company's audited financials reveal a starkly different reality. In 2025, OpenAI reported $13.07 billion in revenue but a massive $20.92 billion operating loss. Even excluding a one-time accounting charge, the cash burn is severe, with $3.7 billion consumed in Q1 2026 alone. This high-profile hiring occurs against a backdrop of significant internal research talent drain, with key founders and researchers departing as the company's focus shifts from exploratory research to product iteration. Meanwhile, OpenAI's fundamental business model faces a deep crisis. It paid Microsoft $10.59 billion for compute in 2025, while its vast user base of 9 billion weekly actives includes only 50 million paying customers, making growth a direct driver of escalating costs. The article argues Shazeer's recruitment is less about technical necessity and more about crafting a compelling narrative for OpenAI's upcoming IPO, aiming to justify a rumored $1 trillion valuation to future public market investors. It contrasts OpenAI's strategy with Anthropic's reported path to profitability, which relies on a strong enterprise customer base and cost control, rather than star-powered narratives. Ultimately, the piece concludes that while Shazeer's architectural work may take 1-2 years to materialize, OpenAI's financial clock is ticking much faster, with its massive losses undercutting the celebratory headlines.

marsbitHá 23m

The Entire Internet Hails Noam's Joining, But OpenAI's Loss Bill Just Got Thicker

marsbitHá 23m

To 'Own' or 'Rent' Intelligence? The New Question for AI Startups

The shutdown of Mythos has prompted a fundamental question for AI startups: is your intelligence "rented" or "owned"? While using frontier model APIs allows for rapid prototyping, it cedes control over your core capabilities to external providers, whose decisions on pricing, rules, or even shutdowns can jeopardize your business. The critical issue isn't just cost, but control and ownership. The lesson isn't to abandon frontier models, but to build upon them. "Owning" intelligence means starting with a powerful open-source model and systematically shaping it with your unique assets: your proprietary data, workflows, domain expertise, edge cases, and evaluation standards. Over time, this creates a company-specific asset that reflects your real work. The future of AI isn't a single, dominant model. There will be multiple "frontiers": general-purpose frontier models, company-specific models fine-tuned on proprietary knowledge, specialized vertical models, and routing systems that orchestrate multiple models. The winning companies will be those that transform intelligence into their own unique, controlled asset, ensuring no one can pull the floor from under their product.

marsbitHá 42m

To 'Own' or 'Rent' Intelligence? The New Question for AI Startups

marsbitHá 42m

Market Trend (June 19): US-Iran Deal Drives Out Geopolitical Premium; Chip Stocks Soar to New Highs; Energy Sector Leads Declines

U.S. Market Trends (June 19): U.S.-Iran Deal Eases Tensions, Chip Stocks Soar, Energy Sector Leads Declines. U.S. stocks rallied on Thursday as the signing of a temporary U.S.-Iran deal in Geneva de-escalated Middle East tensions, with Saudi oil tankers transiting the Strait of Hormuz. This geopolitical relief helped markets recover from recent Fed-driven volatility. The S&P 500 rose over 1%, the Nasdaq gained nearly 2%, and the Dow Jones Industrial Average closed at another record high. The Philadelphia Semiconductor Index surged over 6% to a historic peak. Chip stocks were the standout performers. Reports of an Apple-Intel design and foundry deal for certain products, alongside mentions of potential Nvidia and SpaceX collaborations with Intel, propelled the sector. Intel surged ~10.5%, while memory chip makers like Micron also saw significant gains, highlighting sustained confidence in long-term AI capital expenditure. In contrast, the energy sector was the day's sole loser, with the S&P 500 energy sub-index declining as WTI crude fell ~2% to around $74.29/barrel. The reopening of key shipping routes erased prior geopolitical risk premiums. SpaceX extended losses for a second day on news of a potential large bond offering. Market volatility (VIX) dropped sharply, indicating a swift reversal of post-Fed jitters. Treasury yields dipped slightly but remained elevated. The focus now shifts to upcoming economic data, including next week's PCE inflation report and Micron's earnings, which will serve as a key test for the AI trade's durability.

marsbitHá 46m

Market Trend (June 19): US-Iran Deal Drives Out Geopolitical Premium; Chip Stocks Soar to New Highs; Energy Sector Leads Declines

marsbitHá 46m

Will MicroStrategy Fall Into a Death Spiral? How Will the Macro Outlook Evolve in the Second Half of the Year?

**Summary:** The discussion centers on recent Bitcoin price declines and the evolving financial strategy of MicroStrategy (MSTR). The core argument is that the primary pressure is not from one-off Bitcoin sales by MSTR, but from the market's new expectation that MSTR may need to engage in *sustained, small-scale* Bitcoin sales to cover cash flow obligations for its growing portfolio of preferred shares and debt instruments (like STRC). This shift is driven by its stated goal of maintaining "bitcoins per share neutrality." The market is now testing whether it can absorb this potential ongoing selling pressure without entering a severe "death spiral" with Bitcoin's price. A resolution may involve MSTR softening its approach to avoid damaging both its stock and Bitcoin. The conversation then explores the parallel rise of AI-related stocks. The guest posits that AI is fundamentally restructuring labor, with "tokens" (representing access to AI models/compute) becoming a new form of capital and a substitute for human execution. This drives corporate efficiency and profits, benefiting upstream hardware providers (semiconductors, data centers), which explains the sustained rally. This represents the early stages of a "machine economy." Regarding crypto exchanges offering US stock trading, this is seen as a natural evolution. With few crypto-native assets generating lasting value, exchanges are pivoting to distribute valuable real-world assets (RWAs). This doesn't necessarily harm crypto's long-term prospects, as blockchain infrastructure may become crucial for future machine-to-machine economies. The analysis concludes that the era of rampant altcoin speculation is likely over, heavily damaged by the liquidity shock of the "1011" event (likely referring to a major market crash). Meme-driven capital has largely migrated to US equities. Looking ahead, macroeconomic uncertainty is rising due to potential large IPOs (e.g., SpaceX) and the US elections. While short-term market corrections are possible, the long-term trends of AI-driven productivity gains and the maturation of blockchain towards real-world utility and institutional adoption remain intact.

marsbitHá 49m

Will MicroStrategy Fall Into a Death Spiral? How Will the Macro Outlook Evolve in the Second Half of the Year?

marsbitHá 49m

Trading

Spot
Futuros

Artigos em Destaque

Como comprar MONAD

Bem-vindo à HTX.com!Tornámos a compra de Monad (MONAD) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar Monad (MONAD) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu Monad (MONAD)Depois de comprar o teu Monad (MONAD), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona Monad (MONAD)Transaciona facilmente Monad (MONAD) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

364 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar MONAD

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de MONAD (MONAD) são apresentadas abaixo.

活动图片

Categorias popularesright-arrow

Etiquetas Popularesright-arrow