NEAR Intents halted its cross-chain swap operations on October 1 following a security incident traced to a vulnerability in the interaction between its Omni deposit and withdrawal system and the NEAR Intents smart contract. The preliminary report estimates total losses at approximately $3.8 million, and the project has committed to fully reimbursing affected users.
The platform, which processes over $30 billion in volume across 35 blockchains, identified that the flaw was isolated to the contract side rather than the underlying NEAR Protocol blockchain. While the vulnerability has been patched, deposits and withdrawals remain unavailable on multiple networks including BNB Smart Chain, Polygon, TON, Optimism, Avalanche, Stellar, Monad, X Layer, ADI, Scroll, and Plasma. Blockchain investigator ZachXBT reported that stolen funds were moved to KuCoin and bridged into bitcoin. This incident follows recent major exploits elsewhere in the sector, such as the Bitget hack last week.
This incident highlights the distinct security risks inherent in intent-based trading layers, which operate independently of the underlying blockchains they connect. Although the NEAR Protocol itself remained secure, the compromise of the Omni infrastructure interface demonstrates that cross-chain interoperability solutions introduce additional attack surfaces. The rapid suspension of services and commitment to reimbursement reflect a growing industry standard for handling operational failures in decentralized finance infrastructure, aiming to preserve user trust despite technical vulnerabilities.
From a market structure perspective, the disruption affects a significant volume pipeline, given the platform's history of processing over $30 billion across 35 chains. The pause underscores the fragility of complex multi-chain architectures where a single contract-side flaw can halt operations across numerous networks simultaneously. Stakeholders should monitor the speed of service restoration and the effectiveness of law enforcement collaboration in tracing funds, as these factors will influence future institutional adoption of similar intent-solver models.
