MANDO-Project / ge-sc-transformer
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…
☆16Updated 11 months ago
Alternatives and similar repositories for ge-sc-transformer:
Users that are interested in ge-sc-transformer are comparing it to the libraries listed below
- MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabili…☆31Updated last year
- ☆11Updated last year
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆54Updated 3 years ago
- Attacker Contract Identifier Through Static Dataflow Analysis☆21Updated 8 months ago
- Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accept…☆85Updated last year
- Cross-Modality Mutual Learning for Smart Contract Vulnerability Detection☆30Updated last year
- ☆50Updated 2 years ago
- ☆19Updated last month
- ☆39Updated 3 years ago
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆135Updated last year
- ☆21Updated last year
- This repository contains the RAW results of the vulnerability analysis of 9 tools on 47,587 smart contracts. These results are presented …☆71Updated 4 years ago
- Evaluation Results for the Paper "EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts"☆13Updated 3 years ago
- A Tool for clone detection and bug detection in smart contracts☆106Updated last year
- Datasets for evaluating smart contract security analysis tools ( continuously updating... )☆151Updated last year
- This is a crawler with a tool of Jsoup. Furthermore. Moreover, there is a python version.☆18Updated 5 years ago
- SB Curated is a curated dataset of Solidity smart contracts annotated with tagged vulnerabilities. The dataset was created to evaluate th…☆82Updated 8 months ago
- ☆39Updated last month
- Demystifying Random Number in Ethereum Smart Contract: Taxonomy, Vulnerability Identification, and Attack Detection (TSE Accepted)☆22Updated 2 years ago
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)☆111Updated last year
- ☆38Updated 3 years ago
- A Sequence Learning Approach to Detecting Vulnerabilities☆48Updated 3 years ago
- DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects.☆53Updated last month
- Repository of benchmarks to evaluate Solidity Smart contract analysis tools☆16Updated 4 years ago
- Dynamit: Dynamic Vulnerability Detection of Ethereum Smart Contracts Using Machine Learning☆24Updated last year
- Repository of benchmarks to evaluate Solidity Smart contract analysis tools☆61Updated 2 years ago
- ☆26Updated 2 years ago
- DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection (IJCNN 2021)☆23Updated last year
- Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23)☆85Updated 8 months ago
- ☆13Updated 5 years ago