AutoMESC: Automatic Framework for Mining and Classifying Ethereum Smart Contract Vulnerabilities and Their Fixes

NIAID Data Ecosystem2026-03-13 收录

智能合约安全

检测与分类

数据链接：

https://zenodo.org/record/6774526 数据链接链接失效反馈

官方服务：

资源简介：

AutoMESC Dataset: Automatic Framework for Mining and Classifying Ethereum Smart Contract Vulnerabilities and Their Fixes

创建时间：

2022-06-29

solidity

智能合约安全

漏洞检测

该数据集包含7种常见漏洞类型（重入、时间戳依赖、整数溢出、tod、tx.origin、unchecked-send、unhandled-exceptions和安全合约）的区块链智能合约 Solidity 源代码样本，针对稀缺漏洞类型，使用了基于模版的数据样本增强技术以平衡数据分布，适用于神经网络模型的训练、验证与测试，旨在支持智能合约漏洞检测、分类及安全分析研究。

github2025-12-01 更新520

"DeepAudit code and data"

智能合约安全

漏洞检测

"Since the release of the Ethereum white paper in 2013, blockchain-based smart contract technology has received significant research and industrial interest due to its automatic execution and immutabi

DataCite Commons2026-02-23 更新60

JakeClark/soliaudit-dasp-sequence-gnn-no-explainer

智能合约安全

漏洞检测

--- dataset_info: features: - name: address dtype: large_string - name: before_optimized dtype: large_string - name: optimized_80p dtype: large_string - name: optimized_50p d

Hugging Face2026-04-20 更新50

BadRandomness-SWC120-Dataset

智能合约安全

漏洞检测

该存储库提供了一个基准数据集，用于评估检测以太坊智能合约中坏随机性漏洞的工具。数据集包含从SmartBugs-Wild集合中提取的17,466个合约，每个合约都根据四级风险分类系统进行了标记。坏随机性（SWC-120）发生在智能合约使用可预测的区块链值（如block.timestamp、blockhash或block.difficulty）生成随机数时。攻击者可以利用这一弱点预测结果并窃取资金。

github2026-01-09 更新150

Modelling and Enforcing Access Control Requirements for Smart Contracts - Data Set

智能合约安全

访问控制建模

This data set contains all artifacts for the master thesis of Jan-Philipp Töberg at the Karlsruher Institute of Technology. This includes the Eclipse project for the metamodel and the generator, the e

Zenodo2022-02-01 更新50

AutoMESC: Automatic Framework for Mining and Classifying Ethereum Smart Contract Vulnerabilities and Their Fixes

资源简介：

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