论文标题

scrawld:现实世界以太坊的数据集,标有漏洞的标签

ScrawlD: A Dataset of Real World Ethereum Smart Contracts Labelled with Vulnerabilities

论文作者

Yashavant, Chavhan Sujeet, Kumar, Saurabh, Karkare, Amey

论文摘要

以太坊的智能合约处理数百万美元和其他金融资产。过去,攻击者利用智能合约来窃取这些资产。以太坊社区已经开发了大量的工具来检测脆弱的智能合约。但是,没有标准化数据集可以评估这些现有工具或开发的任何新工具。现实世界中的以太坊智能合约需要公正的标准基准。我们创建了Scrawld:从以太坊网络中获取的现实世界智能合约的注释数据集。数据集使用5个使用多数投票来检测智能合约中各种漏洞的工具标记。

Smart contracts on Ethereum handle millions of U.S. Dollars and other financial assets. In the past, attackers have exploited smart contracts to steal these assets. The Ethereum community has developed plenty of tools to detect vulnerable smart contracts. However, there is no standardized data set to evaluate these existing tools, or any new tools developed. There is a need for an unbiased standard benchmark of real-world Ethereum smart contracts. We have created ScrawlD: an annotated data set of real-world smart contracts taken from the Ethereum network. The data set is labelled using 5 tools that detect various vulnerabilities in smart contracts, using majority voting.

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