Autonomous Smart Contract Auditing: AST Traversal and CEI Verification
Autonomous Smart Contract Auditing: AST Traversal and CEI Verification Sebagian besar tim audit keamanan Web3 masih mengandalkan kombinasi slither statis dan review manual selama dua minggu. Model ini hancur seketika saat berhadapan dengan ekosistem L2 berkecepatan tinggi seperti Base (Chain ID 8453), di mana protokol mendepoloy puluhan kontrak per hari untuk mengejar likuiditas. LLM murni…
The majority of Web3 security audit teams still rely on a combination of static Slither analysis and manual review over a two-week period. However, this model crumbles when confronted with high-speed L2 ecosystems like Base (Chain ID 8453), where protocols deploy dozens of contracts per day to chase liquidity. Pure LLMs (even GPT-4 or Claude 3.5 Sonnet) suffer catastrophic hallucination rates when reading raw Solidity control flow: they assume state has been updated while the EVM executes reentrancy in a prior execution frame.
The deterministic solution is not to augment prompt engineering. Instead, it is to programmatically map the Solidity Compiler Abstract Syntax Tree (AST), validate Checks-Effects-Interactions (CEI) patterns, and execute autonomous on-chain actions only when the contract is verified as secure.
One critical weakness in this approach is the violation of the Checks-Effects-Interactions (CEI) pattern. The CEI rule states that validation conditions (Checks) must precede any internal state changes (Effects), and calls to external contracts (Interactions) must occur after that. If an external call is executed before a state mutation, a malicious attacker can exploit this by calling the same function again with the outdated state.
An autonomous audit machine does not need to understand the business logic of the contract; it merely needs to ensure that there are no external calls preceding state mutation nodes within the same function subtree.
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