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awesome-fuzzing's Introduction

Introduction

Welcome! I am a proactive Security Engineer and an author of several books in the field of security, combining practical experience with academic insights. With over 9 years of experience in developing security solutions for electronic products and devices, my expertise lies in creating innovative approaches to safeguard against digital threats. Currently, I am furthering my knowledge as a Ph.D. student in Digital Forensics, deepening my understanding of this critical field.

Experience

  • Software Security Engineer (Senior Research Engineer), LG Electronics (2017-Present)
  • System Operator (First Lieutenant), Republic of Korea Air Force (2012-2015)

Education

  • Ph.D. Student in Information Security (Korea University, Present)
  • MSc in Software Engineering (Korea Advanced Institute of Technology, 2016-2018)
  • BSc in Computer Engineering (Korea Aerospace University, 2008-2012)

Contact & Connect

  • Detailed Bio: Explore more about my professional journey and insights on my website.
  • Blog (Korean): Delve into my thoughts and expertise in Korean on my Korean blog.
  • Blog (English): Read my articles and professional perspectives in English on my English blog.
  • Publications & Books: For a comprehensive overview of my academic publications, books I've authored, and translations, please visit my Google Scholar.
  • Email: Feel free to reach out to me at [email protected] or [email protected] for professional inquiries or collaborations.

awesome-fuzzing's People

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awesome-fuzzing's Issues

Another usenix security 2018 paper on fuzzing

HI,

Thanks for your helpful list of tools and research projects on fuzzing.

I appreciate it if you also look at our paper and add it to your list:
Charm: Facilitating Dynamic Analysis of Device Drivers of Mobile Systems
https://www.usenix.org/conference/usenixsecurity18/presentation/talebi

In this paper, we made fuzzing of mobile devices' drivers more efficient and more reliable.
All the tools we developed are open source and can be found here:
https://github.com/trusslab/charm

please let me know if you need more information about our work.

Issues with fuzzers list and categorization

Hi, there are several missing fuzzers in the list like the popular honggfuzz and AFLplusplus.
The categorization is broken.
For instance, libFuzzer is not a Binary fuzzer, but a source-level fuzzer. AFL supports both, source and binary.
Regards the Web/Javascript there are two independet categories merged.
The first, is the JS engines fuzzers like fuzzilli and CodeAlchemist, that are C/C++ source-level fuzzers made to test JS engines, the other are JS code fuzzer that are far away different (and less complex let me to say that) than JS engines fuzzers.

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