Empirical evaluation of 20 vulnerability detection tools for Solidity smart contracts on a new line-level annotated dataset of 2,182 instances identifies a 3-tool combination achieving 76.78% detection in under one minute on average.
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LiquiLM integrates LLMs and DCN to audit liquidity flaws in blockchain smart contracts, achieving over 90% F1-score and uncovering 238 high-risk contracts plus 10 CVE-certified vulnerabilities in real-world PoL and Ethereum contracts.
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An empirical analysis of vulnerability detection tools for solidity smart contracts
Empirical evaluation of 20 vulnerability detection tools for Solidity smart contracts on a new line-level annotated dataset of 2,182 instances identifies a 3-tool combination achieving 76.78% detection in under one minute on average.
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LiquiLM: Bridging the Semantic Gap in Liquidity Flaw Audit via DCN and LLMs
LiquiLM integrates LLMs and DCN to audit liquidity flaws in blockchain smart contracts, achieving over 90% F1-score and uncovering 238 high-risk contracts plus 10 CVE-certified vulnerabilities in real-world PoL and Ethereum contracts.