MANDO-Project / ge-sc-transformerLinks
MANDO-HGT is a framework for detecting smart contract vulnerabilities. Given either in source code or bytecode forms, MANDO-HGT adapts heterogeneous graph transformers with customized meta relations for graph nodes and edges to learn their embeddings and train classifiers for detecting various vulnerability types in the contracts' nodes and grap…
☆18Updated last year
Alternatives and similar repositories for ge-sc-transformer
Users that are interested in ge-sc-transformer 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…☆32Updated last year
- Cross-Modality Mutual Learning for Smart Contract Vulnerability Detection☆33Updated 2 years ago
- Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accept…☆92Updated 2 years ago
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆55Updated 4 years ago
- Attacker Contract Identifier Through Static Dataflow Analysis☆22Updated 11 months ago
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆138Updated 2 years ago
- a backdoor detection tool for Ethereum ERC token contract☆12Updated 2 years ago
- ☆22Updated 2 years ago
- ☆44Updated 4 months ago
- Dynamit: Dynamic Vulnerability Detection of Ethereum Smart Contracts Using Machine Learning☆25Updated last year
- ☆19Updated 5 months ago
- Demystifying Random Number in Ethereum Smart Contract: Taxonomy, Vulnerability Identification, and Attack Detection (TSE Accepted)☆24Updated 2 years ago
- ☆11Updated 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…☆41Updated 3 years ago
- Repository of benchmarks to evaluate Solidity Smart contract analysis tools☆69Updated 2 years ago
- DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection (IJCNN 2021)☆24Updated 2 years ago
- ☆55Updated 2 years ago
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)☆116Updated 2 years ago
- This repository contains the RAW results of the vulnerability analysis of 9 tools on 47,587 smart contracts. These results are presented …☆77Updated 4 years ago
- SB Curated is a curated dataset of Solidity smart contracts annotated with tagged vulnerabilities. The dataset was created to evaluate th…☆99Updated 11 months ago
- DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects.☆61Updated 2 months 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
- A tool to automatically patch vulnerable Ethereum smart contracts (RAID 2022).☆26Updated 2 years ago
- A Sequence Learning Approach to Detecting Vulnerabilities☆49Updated 3 years ago
- Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23)☆96Updated 11 months ago
- ☆26Updated 2 years ago
- Datasets for evaluating smart contract security analysis tools ( continuously updating... )☆177Updated last year
- ☆14Updated 6 years ago
- A python implementation of Toward Vulnerability Detection for Ethereum Smart Contracts Using Graph-Matching Network.基于图神经网络的以太坊智能合约漏洞检测方法…☆24Updated last year
- ☆11Updated 4 months ago