DeepAI AI Chat
Log In Sign Up

Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart Contracts

by   Nami Ashizawa, et al.

Ethereum smart contracts are programs that run on the Ethereum blockchain, and many smart contract vulnerabilities have been discovered in the past decade. Many security analysis tools have been created to detect such vulnerabilities, but their performance decreases drastically when codes to be analyzed are being rewritten. In this paper, we propose Eth2Vec, a machine-learning-based static analysis tool for vulnerability detection, with robustness against code rewrites in smart contracts. Existing machine-learning-based static analysis tools for vulnerability detection need features, which analysts create manually, as inputs. In contrast, Eth2Vec automatically learns features of vulnerable Ethereum Virtual Machine (EVM) bytecodes with tacit knowledge through a neural network for language processing. Therefore, Eth2Vec can detect vulnerabilities in smart contracts by comparing the code similarity between target EVM bytecodes and the EVM bytecodes it already learned. We conducted experiments with existing open databases, such as Etherscan, and our results show that Eth2Vec outperforms the existing work in terms of well-known metrics, i.e., precision, recall, and F1-score. Moreover, Eth2Vec can detect vulnerabilities even in rewritten codes.


page 1

page 5


WANA: Symbolic Execution of Wasm Bytecode for Cross-Platform Smart Contract Vulnerability Detection

Many popular blockchain platforms are supporting smart contracts for bui...

ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning

Ethereum smart contracts are automated decentralized applications on the...

G-Scan: Graph Neural Networks for Line-Level Vulnerability Identification in Smart Contracts

Due to the immutable and decentralized nature of Ethereum (ETH) platform...

Smart Contract Vulnerabilities: Does Anyone Care?

In the last year we have seen a great deal of both academic and practica...

Machine Learning Guided Cross-Contract Fuzzing

Smart contract transactions are increasingly interleaved by cross-contra...

Vulnerability and Transaction behavior based detection of Malicious Smart Contracts

Smart Contracts (SCs) in Ethereum can automate tasks and provide differe...