MANDO-Project / ge-sc-machineLinks
MANDO-GURU, a deep graph learning-based tool, aims to accurately detect vulnerabilities in smart contract source code at both coarse-grained contract-level and fine-grained line-level.
☆29Updated 2 years ago
Alternatives and similar repositories for ge-sc-machine
Users that are interested in ge-sc-machine 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…☆33Updated 2 years ago
- Cross-Modality Mutual Learning for Smart Contract Vulnerability Detection☆33Updated 2 years ago
- ☆15Updated 3 years ago
- ☆44Updated 4 years ago
- ☆17Updated last year
- Dataset containing source code and deployed bytecode for Solidity Smart Contracts that have been verified on Etherscan.io, along with a c…☆24Updated 3 years ago
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆146Updated 2 years ago
- Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23)☆106Updated last year
- Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accept…☆98Updated 2 years ago
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)☆120Updated 2 years ago
- ☆59Updated 3 years ago
- Smart contract vulnerability detection using graph neural network (DR-GCN).☆156Updated 2 years ago
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆57Updated 4 years ago
- ☆21Updated 2 years ago
- ☆23Updated last year
- HuangGai is an Ethereum smart contract bug injection framework, it can inject 20 types of bugs into Solidity smart contract. DOI: 10.5281…☆43Updated 3 years ago
- This is the dataset for our TSE paper "Defining Smart Contracts Defects on Ethereum"☆17Updated 11 months ago
- DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection (IJCNN 2021)☆25Updated 2 years ago
- A Sequence Learning Approach to Detecting Vulnerabilities☆49Updated 4 years ago
- A unified smart contract standard data set.☆46Updated 4 years ago
- Repository of benchmarks to evaluate Solidity Smart contract analysis tools☆73Updated 3 years ago
- Repository of benchmarks to evaluate Solidity Smart contract analysis tools☆16Updated 5 years ago
- Extracting graph data from smart contract source code☆13Updated 2 years ago
- ☆30Updated 11 months ago
- Datasets for evaluating smart contract security analysis tools ( continuously updating... )☆191Updated 2 years ago
- ☆25Updated 3 years ago
- This repository contains the RAW results of the vulnerability analysis of 9 tools on 47,587 smart contracts. These results are presented …☆78Updated 5 years ago
- DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects.☆73Updated 8 months ago
- A project to automatically generate program repair recommendation in the field of smart contracts for given code snippets with their cont…☆16Updated 3 months ago
- Demystifying Random Number in Ethereum Smart Contract: Taxonomy, Vulnerability Identification, and Attack Detection (TSE Accepted)☆25Updated 3 years ago