CRED

Requirements

Required Packages

1.python3
2.TensorFlow 1.13
3.keras 2.2.4
4.pandas
5.scikit-learn
6.gensim
7.solidity-parser

Run the following script to install the required packages.

• pip install --upgrade pip
• pip install --upgrade tensorflow
• pip install keras
• pip install pandas
• pip install scikit-learn
• pip install gensim

Required Dataset

We prepared dataset for experiments.(https://github.com/Messi-Q/ReChecker)

Overview

My attempt to detect smart contract reentrancy vulnerability. We apply deep learning to smart contract vulnerability detection. So far, we have completed the following work:

• Uses N-grams and deep learning network to train detection model, include GCN, RNN, LSTM, BLSTM, and BiLSTM-Att.
• Implemented a tool to automatically constructe cross-contract reentrancy semantic graph.
  • Constructe cross-contract semantic graph.
  • RCSG are vectorized for input to neural network.
• Trained RCSG to detect reentrancy vulnerability.

Usage

• Run CSG_AST.py to constructe CSG.
• Run RCSG.py to constructe RCSG.
• Run word2vec.py to vectorization.
• Run gen.py to train the model to get the final result.