JABBERWOCK: A Tool for WebAssembly Dataset Generation and Its Application to Malicious Website Detection

1 code implementation • 9 Jun 2023 • Chika Komiya, Naoto Yanai, Kyosuke Yamashita, Shingo Okamura

We also conduct experimental evaluations of JABBERWOCK in terms of the processing time for dataset generation, comparison of the generated samples with actual WebAssembly samples gathered from the Internet, and an application for malicious website detection.

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

1 code implementation • 7 Jan 2021 • Nami Ashizawa, Naoto Yanai, Jason Paul Cruz, Shingo Okamura

Therefore, Eth2Vec can detect vulnerabilities in smart contracts by comparing the code similarity between target EVM bytecodes and the EVM bytecodes it already learned.

BIG-bench Machine Learning Vulnerability Detection

Hunting for Re-Entrancy Attacks in Ethereum Smart Contracts via Static Analysis

1 code implementation • 2 Jul 2020 • Yuichiro Chinen, Naoto Yanai, Jason Paul Cruz, Shingo Okamura

Ethereum smart contracts are programs that are deployed and executed in a consensus-based blockchain managed by a peer-to-peer network.

Cryptography and Security