跳到主要导航 跳到搜索 跳到主要内容

Tool report: EvoMaster—black and white box search-based fuzzing for REST, GraphQL and RPC APIs

  • Andrea Arcuri*
  • , Man Zhang
  • , Susruthan Seran
  • , Juan Pablo Galeotti
  • , Amid Golmohammadi
  • , Onur Duman
  • , Agustina Aldasoro
  • , Hernan Ghianni
  • *此作品的通讯作者
  • Kristiania University College
  • Oslo Metropolitan University
  • Universidad de Buenos Aires

科研成果: 期刊稿件文章同行评审

摘要

In this paper, we present the latest version 3.0.0 of EvoMaster, an open-source search-based fuzzer aimed at Web APIs. We discuss and present all its recent improvements, including advanced white-box heuristics, advanced search algorithms, support for databases and external services, as well as dealing with GraphQL and RPC APIs besides the original use case for REST APIs. The tool’s installers have been downloaded more than 3000 times. EvoMaster is in daily use for fuzzing millions of lines of code in hundreds of APIs in large Fortune 500 companies, such as for example the e-commerce Meituan.

源语言英语
文章编号4
期刊Automated Software Engineering
32
1
DOI
出版状态已出版 - 6月 2025

学术指纹

探究 'Tool report: EvoMaster—black and white box search-based fuzzing for REST, GraphQL and RPC APIs' 的科研主题。它们共同构成独一无二的学术指纹。

引用此