Ghidra Software Reverse-Engineering for Beginners: Master the art of debugging, from understanding code to mitigating threats
Author: David Álvarez Pérez (Author), Ravikant Tiwari (Author)
ASIN: B0DJGQ91R5
Publisher finelybook 出版社: Packt Publishing
Edition 版本: 2nd ed. edition
Publication Date 出版日期: 2025-01-17
Language 语言: English
Print Length 页数: 446 pages
ISBN-10: 1835889832
ISBN-13: 9781835889824
Book Description
Book Description
About the Author
David Álvarez Pérez is a senior malware analyst and reverse engineer. He has more than 12 years of experience in IT, having worked on his own antivirus product, and later as a malware analyst. He started working for a company that mostly reverse-engineered banking malware, and he helped to automate the process. After that, he joined the critical malware department of an antivirus company and then moved to a Galician research center, while doing his malware-related PhD at the University of Vigo. He has also hunted vulnerabilities in software products like Microsoft’s Windows 10 and the National Security Agency’s Ghidra project. David is currently working as a senior malware analyst at Gen Digital Inc.
Ravikant Tiwari is a senior security researcher at Microsoft, with over a decade of expertise in malware analysis and reverse-engineering. His professional background includes tenures at prominent cybersecurity firms such as McAfee, FireEye, and Acronis, where he specialized in safeguarding users and systems from malicious threats and developing innovative protection mechanisms against advanced malware. He has authored numerous blogs and articles on threat research and holds a patent for designing novel detection mechanisms for malicious crypto miners.
下载地址
相关推荐
- Computational Techniques for Smart Manufacturing in Industry 5.0: Methods and Applications
- Building Web APIs with ASP.NET Core
- Digital Technology 360°: Leverage technology to build a secure and sustainable digital future
- Full Stack JavaScript Strategies: The Hidden Parts Every Mid-Level Developer Needs to Know
- Large Language Models for Developers: A Prompt-based Exploration
- Multivariate Statistics: Classical Foundations and Modern Machine Learning