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paperJuly 2026Unreviewed

Ethereum NFT Smart Contracts: Knowledge-Guided Vulnerability Detection with LLM and Code Slicing

Deyu Yang, Rundong Wei, Xiaoqi Li

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Abstract

Ethereum non-fungible tokens (NFTs) implement ownership, transfer, authorization, and metadata operations through smart contracts, making contract vulnerabilities a direct risk to digital assets. Existing static analyzers provide efficient rule-based screening but can struggle with application-specific logic, whereas unconstrained large language model analysis may be distracted by irrelevant code or produce inconsistent outputs. We present a vulnerability-detection method that combines vulnerabi

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@misc{yang2026ethereum,
  title = {{Ethereum NFT Smart Contracts: Knowledge-Guided Vulnerability Detection with LLM and Code Slicing}},
  author = {Deyu Yang and Rundong Wei and Xiaoqi Li},
  year = {2026},
  month = jul,
  eprint = {2607.21983},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.21983}
}