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…
☆20Updated 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:
- ☆13Updated 2 years ago
- a backdoor detection tool for Ethereum ERC token contract☆12Updated 3 years ago
- ☆24Updated last year
- Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts.☆11Updated 4 years ago
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆148Updated 2 years ago
- Datasets for evaluating smart contract security analysis tools ( continuously updating... )☆197Updated 2 years ago
- ☆49Updated last year
- Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accept…☆100Updated 2 years ago
- A Powerful AST Parser for Solidity☆10Updated 2 months ago
- MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabili…☆35Updated 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 …☆78Updated 5 years ago
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆57Updated 4 years ago
- Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23)☆111Updated last year
- A Tool for clone detection and bug detection in smart contracts☆106Updated 2 years ago
- Attacker Contract Identifier Through Static Dataflow Analysis☆26Updated 3 months ago
- A Python script to scan EVM-based blockchains for smart contract upgrades☆10Updated 2 years ago
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)☆120Updated 2 years ago
- Smart contract vulnerability detection using graph neural network (DR-GCN).☆156Updated 2 years ago
- ☆61Updated 3 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
- Evaluation Results for the Paper "EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts"☆13Updated 4 years ago
- Consolidated Ground Truth (CGT) for Weaknesses of Ethereum Smart Contracts☆24Updated last year
- A tool to automatically patch vulnerable Ethereum smart contracts (RAID 2022).☆27Updated 3 years ago
- HuangGai is an Ethereum smart contract bug injection framework, it can inject 20 types of bugs into Solidity smart contract. DOI: 10.5281…☆44Updated 4 years ago
- Dynamit: Dynamic Vulnerability Detection of Ethereum Smart Contracts Using Machine Learning☆30Updated 2 years ago
- Cross-Modality Mutual Learning for Smart Contract Vulnerability Detection☆33Updated 2 years ago
- ☆68Updated 3 years ago
- ☆10Updated 2 years ago
- DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects.☆78Updated 10 months ago