DeFi协议融合遭受重大黑客攻击,CVG代币崩溃-CoinJournal

币界网Опубліковано о 2024-08-01Востаннє оновлено о 2024-08-01

币界网报道:
    去中心化治理对冲基金平台Convergence被利用。铸造和交换了5800万个CVG代币。黑客攻击后,CVG代币价值暴跌99%,从0.12美元跌至0.0004美元。

周四,去中心化金融(DeFi)协议Convergence遭遇严重漏洞,导致其CVG代币大幅崩溃。

该漏洞涉及创建5800万个CVG代币,然后将其兑换成价值约20万美元的包裹以太币(wETH)和crvFRAX稳定币。

黑客利用Convergence代码库中的漏洞

据web3安全公司QuillAudits称,这种恶意活动是使用协议代码库中的漏洞进行的。

攻击者利用此漏洞制造了大量CVG代币,随后通过Curve的流动性池将其兑换为wETH和crvFRAX。在代币交换之后,攻击者将资金转换为以太币(ETH),并将其转移到Tornado Cash,这是一种旨在掩盖交易痕迹的隐私工具。

这一违规行为导致了估计21万美元的财务损失,而CVG代币持有者则面临着代币价值的灾难性下降。

袭击发生前,CVG的全面摊薄估值为1700万美元。然而,该代币在Curve流动性池中的价格暴跌了99%,从0.12美元跌至几分之一,交易价格为0.0004美元。

Пов'язані матеріали

Google Starts Selling TPUs, Big Tech Aims to Produce "Low-Cost Tokens" with AI Chips

Google has begun selling its proprietary TPU chips and AI computing hardware directly to third-party data centers and clients, marking a strategic shift. Previously only accessible via cloud rentals, TPUs are specialized processors designed for the matrix and tensor operations central to AI models. By combining thousands into supercomputing clusters managed by CPUs, Google achieves high-efficiency AI processing. This move enables Google’s Gemini AI to offer competitive token pricing, challenging rivals like OpenAI. It also signals a broader industry trend where AI compute is becoming a commoditized resource like electricity. While NVIDIA remains dominant with its CUDA ecosystem and high-performance GPUs, the focus is shifting from raw power to cost efficiency and system integration. Google’s approach mirrors NVIDIA’s by selling an entire ecosystem—hardware, software, and data center expertise—rather than just chips. This threatens NVIDIA’s grip on the mid-range inference market, where lower-cost, efficient solutions are increasingly demanded. Similarly, cloud providers like Huawei Cloud and Alibaba Cloud in China are developing their own AI chip ecosystems (e.g., Ascend, Zhenwu), packaging chips, clusters, and tools into full-stack solutions. They aim to reduce token costs and capture market share through integrated systems. In summary, the AI infrastructure race is evolving from a competition for the strongest chips to a contest for the most efficient and cost-effective systems. Google’s TPU sales highlight this transition, emphasizing that future success lies in delivering affordable, scalable AI compute as a foundational service.

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Google Starts Selling TPUs, Big Tech Aims to Produce "Low-Cost Tokens" with AI Chips

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