Kelp DAO Hack: Aave DAO Proposes To Contribute 25,000 ETH To Recovery Efforts

bitcoinistPublicado em 2026-04-25Última atualização em 2026-04-25

Resumo

Aave DAO has proposed contributing 25,000 ETH from its treasury to a coordinated recovery effort following a major exploit on Kelp DAO. The attack, which occurred on April 18, targeted Kelp's rsETH Ethereum LayerZero adapter, resulting in a loss of approximately 163,183 ETH. Through frozen assets, recovered funds, and expected liquidations, over half the deficit has been covered, but a gap of roughly 75,081 ETH remains. A coalition named "DeFi United," including pledges from EtherFi, Lido, Ethena, and a credit line from Mantle, is mobilizing to restore the system. Aave's anchored contribution is a key part of this effort to reintroduce liquidity and fully back the affected tokens.

Aave DAO has unveiled a proposal to deploy 25,000 ETH from its treasury to support a coordinated recovery effort following the recent Kelp DAO exploit. The move forms part of a broader “DeFi United” initiative aimed at restoring user funds and stabilizing affected lending markets.

On April 18, KelpDAO suffered a major attack targeted at its rsETH Ethereum LayerZero adapter, allowing a hacker to drain assets and break the backing relationship between locked ETH collateral and minted tokens across chains. The breach triggered a cascading liquidity and solvency challenge across DeFi platforms that integrated rsETH and its wrapped variant.

Over $160,000 ETH Gap Remains As Exploit Recovery Efforts Gain Traction

According to the Aave DAO governance proposal, the attacker stole 152,577 rsETH, which is approximately 163,183 ETH based on prevailing conversion rates. Since then, coordinated intervention by ecosystem participants has substantially reduced the gap. Kelp DAO managed to freeze 40,373 rsETH, equivalent to roughly 43,168 ETH. Additionally, the Arbitrum Security Council recovered 30,766 ETH that the attacker still held on its platform.

Source: Aave DAO

Notably, further recoveries are expected through liquidation processes on lending platforms. The attacker’s positions on Aave could yield up to 12,323 ETH, while an additional 1,845 ETH may be recovered from positions on Compound. In total, these efforts account for approximately 87,955 ETH, i.e, just over half of the original deficit. Despite this progress, a funding gap of roughly 75,081 ETH remains, resulting in a further coordinated capital injection to fully restore backing.

Aave DAO Steps In With 25,000 ETH Commitment As Coalition Mobilizes

To bridge the remaining deficit, the DeFi United coalition is combining donations, credit facilities, and treasury support. So far, ecosystem contributors including EtherFi, Lido, and Ethena have pledged 14,570 ETH, while Mantle has extended a credit facility of up to 30,000 ETH.

Source: Aave DAO

Aave DAO’s proposal to contribute 25,000 ETH represents a cornerstone of this recovery stack. Notably, the contribution is “anchored,” meaning it will not be reduced by future donations. Instead, any additional funds raised will be used to repay borrowed capital, thereby limiting Aave’s long-term exposure.

The plan requires approximately 120,015 ETH (excluding 43,168 ETH immediately frozen by Kelp DAO) to be reintroduced into the LayerZero lockbox to fully restore system integrity. However, a portion of expected recoveries remains illiquid, prompting the need for short-term loan financing from ecosystem partners.

Total crypto market cap valued at $2.57 trillion on the daily chart | Source: TOTAL chart on Tradingview.com

Criptomoedas em alta

Perguntas relacionadas

QWhat is the total amount of ETH that was stolen in the Kelp DAO exploit, and what is the remaining funding gap after recovery efforts?

AThe attacker stole 152,577 rsETH, which is approximately 163,183 ETH. After recovery efforts, including frozen funds and liquidations, a funding gap of roughly 75,081 ETH remains.

QWhat is the role of the 'DeFi United' initiative mentioned in the proposal?

AThe 'DeFi United' initiative is a coordinated effort aimed at restoring user funds and stabilizing affected lending markets by combining donations, credit facilities, and treasury support from various ecosystem participants.

QHow much ETH has Aave DAO specifically proposed to contribute, and what is the nature of this contribution?

AAave DAO has proposed to contribute 25,000 ETH from its treasury. This contribution is 'anchored,' meaning it will not be reduced by future donations and any additional funds raised will be used to repay borrowed capital to limit Aave's long-term exposure.

QWhich other major ecosystem participants have pledged support, and what are their contributions?

AEcosystem contributors including EtherFi, Lido, and Ethena have collectively pledged 14,570 ETH. Additionally, Mantle has extended a credit facility of up to 30,000 ETH.

QWhat specific mechanism of the KelpDAO protocol was targeted in the attack on April 18?

AThe attack targeted KelpDAO's rsETH Ethereum LayerZero adapter, which allowed the hacker to drain assets and break the backing relationship between locked ETH collateral and minted tokens across chains.

Leituras Relacionadas

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

The article titled "Gate Research Institute: Are Crypto Financial Products Sparking a 'Wall Street' Wave—Competition or Convergence?" explores the evolving relationship between the crypto ecosystem and traditional finance (TradFi). The piece begins by reflecting on Bitcoin's original 2009 vision of decentralization, disintermediation, and moving away from banks. It then contrasts this with the 2024 landscape, where key crypto assets like Bitcoin are increasingly held through Wall Street products like ETFs issued by giants like BlackRock. The article questions whether this signifies that TradFi is systematically taking over the rights to issue, price, custody, and distribute crypto financial assets. The core argument is that this is not a zero-sum takeover but rather a bidirectional convergence where each side addresses the other's weaknesses. Crypto offers 24/7 global markets, programmable settlement, and open access but lacks compliant channels, institutional-grade custody, deep fiat liquidity, and mainstream distribution. TradFi possesses these but is constrained by legacy systems, limited operating hours, and slow settlement. Two primary convergence paths are highlighted: * **Path A (CEX to TradFi):** Exemplified by Gate, which has progressed from offering tokenized stocks and CFDs to providing direct, real stock trading (US, Hong Kong, South Korea) within its platform, using USDT. * **Path B (TradFi to Crypto):** Exemplified by Robinhood, which has integrated crypto trading, acquired exchanges like Bitstamp, and is moving traditional assets like stocks onto the blockchain via tokenization and its own Layer 2. Both paths are ultimately competing to become the next-generation, unified financial account—a "super account" where users can seamlessly trade cryptocurrencies, stocks, ETFs, RWA (Real World Assets), and tokenized treasury products in one interface. The growth of RWA and tokenized treasuries (e.g., BlackRock's BUIDL) is presented as the asset-layer fusion, providing stable, yield-bearing assets on-chain and acting as a bridge between the two worlds. In conclusion, the "Wall Street-ization" of crypto is framed as a mutual transformation. Decentralized ideals persist in the protocol layer, while at the application layer, a more efficient, global, and accessible unified capital market is emerging from this convergence. The future competition lies not between crypto exchanges and stockbrokers, but between platforms vying to offer the most comprehensive asset coverage, liquidity, and user experience within a single account.

marsbitHá 2m

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

marsbitHá 2m

Claude's Major New Feature: Screen Recording + Voice, Distilling Your Skills into AI Tasks in One Click

Claude has introduced a major new feature called "Record a Skill," available for Pro, Max, and Team users. This function, found in the Claude desktop app's CoWork menu, allows users to create reusable AI skills simply by recording their screen and providing voice narration while performing a task. Claude then automatically analyzes the recording and generates a functional Skill. A hands-on test confirmed the feature works seamlessly. Users start recording via the Skills manager, perform their workflow while verbally explaining the steps and logic, and avoid including sensitive information. After recording, Claude processes the content and creates the Skill, which can be saved and later invoked with a slash command (/). This eliminates the need for manual adjustments or writing complex instruction files. The innovation goes beyond mere efficiency. Previously, creating a Skill required writing a detailed SKILL.md file in Markdown—a significant barrier for non-technical users. "Record a Skill" bypasses this by directly capturing both actions and the implicit reasoning shared in the narration. This lowers the barrier to knowledge transfer and automation, addressing a core challenge in corporate knowledge management: the difficulty of getting experts to write and maintain documentation. However, the feature also highlights a shift in the nature of work. A case study from March 2026 showed a freelancer whose five-year client relationship was effectively replaced by a hand-coded Claude Skill automating their content workflow. With the even lower barrier of screen recording, the ability to distill personal expertise into automatable skills accelerates this trend. The "moat" for work is moving from simply knowing how to do a task to mastering tasks that are difficult or impossible to automate.

marsbitHá 7m

Claude's Major New Feature: Screen Recording + Voice, Distilling Your Skills into AI Tasks in One Click

marsbitHá 7m

Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

Feeding "Noise" to AI Can Improve Performance: A Method Enables Positive Transfer from Noise This work, Semi-Supervised Noise Adaptation (SSNA), introduces a Noise Adaptation Framework (NAF) that challenges traditional transfer learning. Instead of requiring a labeled source domain of real data (e.g., images, text), NAF uses randomly generated Gaussian noise as the source. For a target task with C classes, it constructs C noise clusters by sampling from Gaussian distributions. Although this synthetic noise contains no semantic meaning, NAF trains it to form a discriminative class structure in a shared representation space—clustering same-class noise and separating different classes. The key is aligning this learned structure from the noise domain to the real, sparsely labeled target domain. A small number of target labels are still essential to establish the correspondence between noise clusters and actual classes. The training objective combines: 1) supervised loss on the few labeled target samples, 2) classification loss for the noise to build its structure, and 3) a distribution alignment loss (using Negative Domain Similarity) to minimize the gap between the noise and target domains in the shared space. Experiments show significant gains in few-label settings. With just 4 labels per class, NAF with a ResNet-18 backbone improves accuracy over a standard supervised baseline (ERM) by +12.35% on CIFAR-10, +7.61% on CIFAR-100, +4.38% on DTD-47, and +2.74% on Caltech-101. It also benefits fine-grained datasets and scales to ImageNet-1K (with 100 labels/class) and text classification (AG News). NAF can be integrated into existing semi-supervised methods like FixMatch for further gains. Ablation studies confirm the transferred benefit comes from the discriminative structure of the noise, not randomness itself. Collapsing all noise into a single point causes negative transfer, while increasing separation between noise cluster centers improves performance. The amount of noise per class is less critical once a basic structure forms. In conclusion, this work demonstrates that for positive transfer, the semantic content of source data may not be necessary. What can be effectively transferred is the *organizational structure* of categories within a representation space. This offers a promising alternative for scenarios where real source data is unavailable due to privacy, copyright, or procurement constraints.

marsbitHá 8m

Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

marsbitHá 8m

Trading

Spot

Artigos em Destaque

Como comprar DAO

Bem-vindo à HTX.com!Tornámos a compra de DAO Maker (DAO) 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 DAO Maker (DAO) 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 DAO Maker (DAO)Depois de comprar o teu DAO Maker (DAO), 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 DAO Maker (DAO)Transaciona facilmente DAO Maker (DAO) 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.

220 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar DAO

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 DAO (DAO) são apresentadas abaixo.

活动图片