LLMs Show Potential in Detecting Smart Contract Vulnerabilities
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🧩 LLMs Show Promise in Detecting Smart Contract Vulnerabilities, but Challenges Remain. A recent study highlights the potential of Large Language Models (LLMs) in identifying vulnerabilities in smart contracts, particularly focusing on Solidity v0.8. While the research demonstrates that optimized prompts can reduce false-positive rates by over 60%, it also reveals a concerning drop in recall rates for specific vulnerabilities, plummeting to just 13% compared to earlier Solidity versions. This decline is attributed to LLMs’ difficulties in adapting to changes in newly introduced libraries and frameworks. The findings underscore the need for further advancements in LLM-based detection methods to effectively address the economic risks posed by smart contract vulnerabilities in blockchain applications.
