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Blockaid dApp Scanning
Detects and blocks malicious dApps through scanning and transaction validation

Blockaid dApp Scanning
Detects and blocks malicious dApps through scanning and transaction validation
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Blockaid dApp Scanning Description
Blockaid dApp Scanning is a security solution that identifies and blocks malicious decentralized applications (dApps) before they can harm users. The platform employs a multi-layered approach to threat detection and prevention. The system performs internet-wide scanning by monitoring new domain registrations, conducting active web crawling, and tracking social media platforms for new dApp discussions. This proactive approach enables the platform to identify threats within an average of 4 minutes after deployment. The solution uses sandboxed analysis to simulate user interactions and expose hidden threats. It intercepts network and JSON-RPC requests, fuzzes user interfaces to trigger various transaction types, mocks high-net-worth wallet interactions, and flags evasion techniques employed by attackers. Transaction validation capabilities analyze and flag malicious transactions in real-time. The system identifies fund transfers to malicious addresses, protects against address poisoning, and prevents interactions with OFAC-sanctioned entities. The platform is integrated with major web3 wallets and interfaces, securing over 120 million dApp connections monthly. It scans approximately 75 million domains per month and blocks around 1.6 million malicious dApps monthly. The solution supports multiple blockchain networks including Ethereum Mainnet, Base, Optimism, Polygon, Avalanche, Sui, and Starknet.
Blockaid dApp Scanning FAQ
Common questions about Blockaid dApp Scanning including features, pricing, alternatives, and user reviews.
Blockaid dApp Scanning is Detects and blocks malicious dApps through scanning and transaction validation developed by Blockaid. It is a Threat Management solution designed to help security teams with Threat Detection, Threat Intelligence, Threat Prevention.
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