English

Identifying Vulnerabilities in Smart Contracts using Interval Analysis

Software Engineering 2023-09-26 v1

Abstract

This paper serves as a progress report on our research, specifically focusing on utilizing interval analysis, an existing static analysis method, for detecting vulnerabilities in smart contracts. We present a selection of motivating examples featuring vulnerable smart contracts and share the results from our experiments conducted with various existing detection tools. Our findings reveal that these tools were unable to detect the vulnerabilities in our examples. To enhance detection capabilities, we implement interval analysis on top of Slither [3], an existing detection tool, and demonstrate its effectiveness in identifying certain vulnerabilities that other tools fail to detect.

Keywords

Cite

@article{arxiv.2309.13805,
  title  = {Identifying Vulnerabilities in Smart Contracts using Interval Analysis},
  author = {Ştefan-Claudiu Susan and Andrei Arusoaie},
  journal= {arXiv preprint arXiv:2309.13805},
  year   = {2023}
}

Comments

In Proceedings FROM 2023, arXiv:2309.12959

R2 v1 2026-06-28T12:31:02.484Z