Secbrain / VulHunter
☆13Updated last year
Alternatives and similar repositories for VulHunter
Users that are interested in VulHunter are comparing it to the libraries listed below
Sorting:
- MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabili…☆31Updated last year
- ☆42Updated 3 years ago
- ☆13Updated 2 years ago
- Cross-Modality Mutual Learning for Smart Contract Vulnerability Detection☆32Updated 2 years ago
- Dataset containing source code and deployed bytecode for Solidity Smart Contracts that have been verified on Etherscan.io, along with a c…☆22Updated 2 years ago
- ☆22Updated 2 years ago
- Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23)☆95Updated 11 months ago
- Definition and Detection of Defects in NFT Smart Contracts☆21Updated last year
- ☆18Updated last year
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆54Updated 4 years ago
- MANDO-GURU, a deep graph learning-based tool, aims to accurately detect vulnerabilities in smart contract source code at both coarse-grai…☆28Updated 2 years ago
- A project to automatically generate program repair recommendation in the field of smart contracts for given code snippets with their cont…☆15Updated 2 months ago
- A unified smart contract standard data set.☆45Updated 3 years ago
- ☆55Updated 2 years ago
- DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects.☆60Updated last month
- A Sequence Learning Approach to Detecting Vulnerabilities☆48Updated 3 years ago
- This is the dataset for our TSE paper "Defining Smart Contracts Defects on Ethereum"☆16Updated 4 months ago
- Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accept…☆91Updated 2 years ago
- Dynamit: Dynamic Vulnerability Detection of Ethereum Smart Contracts Using Machine Learning☆25Updated last year
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)☆115Updated 2 years ago
- MANDO-HGT is a framework for detecting smart contract vulnerabilities. Given either in source code or bytecode forms, MANDO-HGT adapts he…☆18Updated last year
- Repository of benchmarks to evaluate Solidity Smart contract analysis tools☆16Updated 4 years ago
- ☆32Updated 2 years ago
- DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection (IJCNN 2021)☆23Updated 2 years ago
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆137Updated 2 years ago
- Datasets for evaluating smart contract security analysis tools ( continuously updating... )☆174Updated last year
- Smart Contract Vulnerability Detection Based on Deep Learning. (LSTM, BLSTM, BLSTM+Attention)☆28Updated 5 years ago
- Repository of benchmarks to evaluate Solidity Smart contract analysis tools☆70Updated 2 years ago
- ☆26Updated 2 years ago
- Anonymous repo for USCHunt, a tool for detecting and classifying upgradeable proxy smart contracts, built atop Slither☆19Updated 2 years ago