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0% found this document useful (0 votes)
128 views3 pages

Vi Rus

Uploaded by

Allan Haule
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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Learning about spyware, malware, viruses, and worms requires a deep

understanding of cybersecurity, ethical hacking, and malware analysis.


Below are some recommended books that focus on these topics:

1. "Malware Analyst's Cookbook and DVD: Tools and Techniques for Fighting
Malicious Code" by Michael Ligh, Steven Adair, Blake Hartstein, and Matthew
Richard

This book offers practical techniques and tools for reverse engineering and
analyzing malware. It provides hands-on experience with real-world malware
samples, which is essential for learning how malicious software works.

2. "Practical Malware Analysis: The Hands-On Guide to Dissecting Malicious


Software" by Michael Sikorski and Andrew Honig

A comprehensive guide to analyzing malware with step-by-step explanations.


It covers reverse engineering, behavioral analysis, and static analysis,
making it perfect for beginners and those who want to build a solid
foundation in malware analysis.

3. "The Art of Computer Virus Research and Defense" by Peter Szor

Peter Szor, a leading authority on viruses, provides a deep dive into how
viruses and worms work. The book also explores strategies for defending
against them. It is a bit dated but remains a classic resource.

4. "Rootkits: Subverting the Windows Kernel" by Greg Hoglund and James


Butler
This book explains how rootkits work and provides insight into advanced
malware techniques. It is more focused on Windows-based attacks and
countermeasures, giving you a closer look at stealthy malware.

5. "Violent Python: A Cookbook for Hackers, Forensic Analysts, Penetration


Testers, and Security Engineers" by TJ O'Connor

This book shows how to use Python for penetration testing and cyber
attacks, including writing scripts for network reconnaissance, password
cracking, and more. Some of the malware-related chapters can help with
building and analyzing malicious code.

6. "The Shellcoder's Handbook: Discovering and Exploiting Security Holes" by


Chris Anley, John Heasman, Felix Lindner, and Gerardo Richarte

This book focuses on understanding security vulnerabilities, especially buffer


overflows and how they are exploited. The book is advanced but very useful
if you want to learn how malware developers exploit system weaknesses.

7. "Gray Hat Python: Python Programming for Hackers and Reverse


Engineers" by Justin Seitz

This book focuses on reverse engineering, malware analysis, and exploit


development using Python. It's a good choice for learning how to write
malware-like programs for testing purposes.
8. "Hacking: The Art of Exploitation" by Jon Erickson

A classic book on hacking that covers programming, exploits, and network


attacks. It teaches how vulnerabilities are discovered and exploited, which is
essential knowledge for understanding how malware works.

9. "Malware Data Science: Attack Detection and Attribution" by Joshua Saxe


and Hillary Sanders

This book dives into using machine learning and data science techniques to
detect malware. It’s ideal for those interested in combining programming
skills with data-driven approaches to malware detection.

10. "Ransomware and Cyber Extortion: The True Threat to Companies and
Individuals" by Roger Grimes

While focused on ransomware, this book provides insights into how certain
types of malware are designed and deployed in attacks. It's a useful resource
for learning about the broader field of malware.

Important Note:

When learning about these topics, it's important to focus on ethical hacking
and white-hat practices. Experimenting with malicious software outside
controlled environments could be illegal and unethical. Always ensure you're
working within the boundaries of the law and using any gained knowledge for
defensive purposes. Virtual labs and isolated environments like VMs (Virtual
Machines) should be used for testing.

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