Malware Analysis Techniques: Tricks for the triage of adversarial software, Bark

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Gut: Buch, das gelesen wurde, sich aber in einem guten Zustand befindet. Der Einband weist nur sehr ...
ISBN
9781839212277
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1839212276
ISBN-13
9781839212277
eBay Product ID (ePID)
11050385500

Product Key Features

Publication Year
2021
Subject
Security / Viruses & Malware, Security / General, General, Security / Networking
Number of Pages
282 Pages
Language
English
Publication Name
Malware Analysis Techniques : Tricks for the Triage of Adversarial Software
Type
Textbook
Subject Area
Mathematics, Computers
Author
Dylan Barker
Format
Trade Paperback

Additional Product Features

Dewey Edition
23
Dewey Decimal
005.88
Synopsis
Analyze malicious samples, write reports, and use industry-standard methodologies to confidently triage and analyze adversarial software and malwareKey Features* Investigate, detect, and respond to various types of malware threat* Understand how to use what you've learned as an analyst to produce actionable IOCs and reporting* Explore complete solutions, detailed walkthroughs, and case studies of real-world malware samplesBook DescriptionMalicious software poses a threat to every enterprise globally. Its growth is costing businesses millions of dollars due to currency theft as a result of ransomware and lost productivity. With this book, you'll learn how to quickly triage, identify, attribute, and remediate threats using proven analysis techniques.Malware Analysis Techniques begins with an overview of the nature of malware, the current threat landscape, and its impact on businesses. Once you've covered the basics of malware, you'll move on to discover more about the technical nature of malicious software, including static characteristics and dynamic attack methods within the MITRE ATT&CK framework. You'll also find out how to perform practical malware analysis by applying all that you've learned to attribute the malware to a specific threat and weaponize the adversary's indicators of compromise (IOCs) and methodology against them to prevent them from attacking. Finally, you'll get to grips with common tooling utilized by professional malware analysts and understand the basics of reverse engineering with the NSA's Ghidra platform.By the end of this malware analysis book, you'll be able to perform in-depth static and dynamic analysis and automate key tasks for improved defense against attacks.What you will learn* Discover how to maintain a safe analysis environment for malware samples* Get to grips with static and dynamic analysis techniques for collecting IOCs* Reverse-engineer and debug malware to understand its purpose* Develop a well-polished workflow for malware analysis* Understand when and where to implement automation to react quickly to threats* Perform malware analysis tasks such as code analysis and API inspectionWho this book is forThis book is for incident response professionals, malware analysts, and researchers who want to sharpen their skillset or are looking for a reference for common static and dynamic analysis techniques. Beginners will also find this book useful to get started with learning about malware analysis. Basic knowledge of command-line interfaces, familiarity with Windows and Unix-like filesystems and registries, and experience in scripting languages such as PowerShell, Python, or Ruby will assist with understanding the concepts covered., Analyze malicious samples, write reports, and use industry-standard methodologies to confidently triage and analyze adversarial software and malware Key Features: Investigate, detect, and respond to various types of malware threat Understand how to use what you've learned as an analyst to produce actionable IOCs and reporting Explore complete solutions, detailed walkthroughs, and case studies of real-world malware samples Book Description: Malicious software poses a threat to every enterprise globally. Its growth is costing businesses millions of dollars due to currency theft as a result of ransomware and lost productivity. With this book, you'll learn how to quickly triage, identify, attribute, and remediate threats using proven analysis techniques. Malware Analysis Techniques begins with an overview of the nature of malware, the current threat landscape, and its impact on businesses. Once you've covered the basics of malware, you'll move on to discover more about the technical nature of malicious software, including static characteristics and dynamic attack methods within the MITRE ATT&CK framework. You'll also find out how to perform practical malware analysis by applying all that you've learned to attribute the malware to a specific threat and weaponize the adversary's indicators of compromise (IOCs) and methodology against them to prevent them from attacking. Finally, you'll get to grips with common tooling utilized by professional malware analysts and understand the basics of reverse engineering with the NSA's Ghidra platform. By the end of this malware analysis book, you'll be able to perform in-depth static and dynamic analysis and automate key tasks for improved defense against attacks. What You Will Learn: Discover how to maintain a safe analysis environment for malware samples Get to grips with static and dynamic analysis techniques for collecting IOCs Reverse-engineer and debug malware to understand its purpose Develop a well-polished workflow for malware analysis Understand when and where to implement automation to react quickly to threats Perform malware analysis tasks such as code analysis and API inspection Who this book is for: This book is for incident response professionals, malware analysts, and researchers who want to sharpen their skillset or are looking for a reference for common static and dynamic analysis techniques. Beginners will also find this book useful to get started with learning about malware analysis. Basic knowledge of command-line interfaces, familiarity with Windows and Unix-like filesystems and registries, and experience in scripting languages such as PowerShell, Python, or Ruby will assist with understanding the concepts covered.
LC Classification Number
QA76.76.C68

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