Neurablock neural engine monitors every transaction, smart contract call, and wallet interaction - detecting and blocking attacks before they execute.
Five specialized neural modules process each transaction simultaneously, each trained on 50M+ historical attacks.
A real-time simulation of how Neurablock detects and neutralizes a flash loan reentrancy attack.
Scans the full transaction mempool before mining, catching flash loans, sandwich attacks, and front-running bots before they execute.
Neural bytecode decompilation detects reentrancy, overflow, and proxy exploits across any EVM-compatible contract instantly.
Detects zero-day attacks by modeling anomalies across wallet clusters, liquidity pools, and protocol interactions in real time.
Ethereum, Solana, BNB Chain, Polygon, Arbitrum, Avalanche - monitored through one integration with cross-chain bridge protection.
Auto-pause contracts, revoke approvals, or trigger circuit breakers - responding in microseconds, not minutes.
Immutable cryptographic logs for compliance, incident response, and insurance documentation.
A technical whitepaper by Neurablock exploring how neural opcode analysis detects vulnerabilities with higher precision than traditional audit methods.
A pipeline trained on 2.3M annotated EVM bytecode sequences, achieving 99.4% precision in vulnerability classification across reentrancy, integer overflow, and delegatecall exploits.
Opcode-level feature extraction feeds a Graph Neural Network with 847 learned representations per contract. Ensemble classifiers score threat probability in under 0.4ms.
Across 6 EVM-compatible chains, the model blocked 847K+ attacks and secured $4.2B in assets. False positive rate below 0.03% across 180-day deployment.
Opcode-level analysis outperforms source-code static analysis by 34% in zero-day detection. Generalizes across Solidity versions and unverified contracts.
24 pages including dataset methodology, model architecture diagrams, and benchmark comparisons.
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