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    Home»Crypto News»Gnosis Safe Wallet Loses USD 7.8 Million in rsETH After Custom Module Exploit
    Crypto News

    Gnosis Safe Wallet Loses USD 7.8 Million in rsETH After Custom Module Exploit

    Bhavesh MauryaBy Bhavesh MauryaSeptember 16, 2026No Comments2 Mins Read

    Gnosis Safe Wallet Loses USD 7.8 Million in rsETH After Third-Party Smart Contract Exploit

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    Gnosis Safe Wallet Loses USD 7.8 Million in rsETH After Custom Module Exploit
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    An Ethereum-based Gnosis Safe wallet lost approximately 2,900 rsETH worth USD 7.8 million on September 15 after an attacker exploited authorization weaknesses in a custom module. Security researchers stressed that Safe’s core contracts and Kelp DAO’s rsETH contracts were not compromised. 

    Custom Module Opened Attack Path

    The affected wallet held about USD 7.73 million in rsETH-related assets before the exploit. Researchers traced the vulnerability to an authorized custom module and helper contract used to automate transactions.

    The module’s access controls allowed external calls to execute through permissions already granted by the Safe. Bitquery said no owner key was stolen and the Safe processed module calls according to its existing permissions.

    The attacker used the exposed route to move roughly 2,900 aETH from the Safe and convert the Aave-wrapped position into transferable rsETH.

    MEV Bot Front-Runs Attacker

    The original attacker did not ultimately capture most assets. An automated MEV searcher called ‘Yoink’ detected the exploit transaction and executed first in Ethereum block 25,980,525.

    According to Bitquery, 2,882.37 rsETH moved to a separate address, while 17.63 rsETH was sold for approximately 18.95 ETH. Reports estimated Yoink paid around USD 46,000-USD 47,000 for priority transaction placement. 

    Blockaid described the incident as “module-authorization abuse on that Safe, not a Safe core / owner-key bug.” 

    Kelp DAO Restricts Receiving Wallet

    Kelp DAO responded by temporarily pausing the address holding most intercepted rsETH for 24 hours.

    “This is a precautionary, wallet-level measure only. Kelp contracts are safe, rsETH remains fully backed,” Kelp said, adding that minting, withdrawals and integrations continued operating normally. 

    The restriction prevented rsETH from moving through the targeted address while investigators reviewed the incident.

    DeFi Permissions Remain Critical

    The incident demonstrates how third-party modules can weaken otherwise secure multisignature wallets. Automated modules offer convenience for trading and DeFi strategies, but broad permissions can create attack paths when authorization logic fails.

    For users and protocols, reviewing approved modules, limiting permissions and auditing helper contracts remain important safeguards. The USD 7.8 million incident shows that wallet security depends not only on core contracts but also on every authorized component connected to them.

    Also Read: Gujarat Police Busts Interstate Bomb Threat Email Network with Bangladesh Crypto Links

    Disclaimer : Crypto News India does not recommend that any cryptocurrency should be bought, sold, or held by you. Do conduct your own due diligence and consult your financial advisor before making any investment decisions.

    Cryptocurrency rsETH exploit smart contract vulnerability
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    Bhavesh Maurya

    Bhavesh Maurya is a technical content analyst and market researcher with strong expertise in cryptocurrency, global financial markets, and emerging fintech ecosystems. With hands-on experience in analyzing blockchain data and on-chain metrics, he specializes in breaking down complex developments across Bitcoin, altcoins, ETFs, and digital asset infrastructure into clear, data-driven insights. Coming from a technical background that spans backend systems, APIs, and data-driven problem solving, Bhavesh brings a unique analytical depth to financial and crypto journalism. His work focuses on interpreting market structure, institutional flows, price action, and evolving narratives such as AI in finance, tokenization, and decentralized infrastructure.

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