Stars
This repository contains 47,398 smart contracts extracted from the Ethereum network.
SolidiFI is an automated and systematic framework for evaluating smart contracts' static analysis tools via Bug Injection
The resource applied Graph Learning on smart contract vulnerability detection in bytecode form.
Detect blockchain vulnerabilities using Graph Neural Networks (GNNs) and Control Flow Graphs (CFGs) from Ethereum smart contracts.
A binary lifter and analysis framework for Ethereum smart contracts
Attacker Contract Identifier Through Static Dataflow Analysis
Cross-Modality Mutual Learning for Smart Contract Vulnerability Detection
Attention Feature Fusion base on spatial-temporal Graph Convolutional Network（AFFGCN）
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A framework for high-level Analysis of Ethereum Bytecode
The project has been moved to this new repo https://github.com/melonproject/oyente
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
EVM ByteCode To Opcode Disassembler
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Implements a disparity filter in Python, based on graphs in NetworkX, to extract the multiscale backbone of a complex weighted network (Serrano, et al., 2009)
Security analysis tool for EVM bytecode. Supports smart contracts built for Ethereum, Hedera, Quorum, Vechain, Rootstock, Tron and other EVM-compatible blockchains.
An Analysis Tool for Smart Contracts
A set of utilities for exploring Solidity contracts
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
A decentralized Web (React) app by which you can MINT NFT through your wallet 🚀
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 relation…