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Learning Malware Analysis: Explore the Concepts, Tools, and Techniques to Analyz

Description: Learning Malware Analysis by Monnappa K.A. Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Malware analysis and memory forensics are powerful analysis and investigation techniques used in reverse engineering, digital forensics, and incident response. This book teaches you the concepts, tools, and techniques to determine the behavior and characteristics of malware using malware analysis and memory forensics. Publisher Description Understand malware analysis and its practical implementation Key Features Explore the key concepts of malware analysis and memory forensics using real-world examples Learn the art of detecting, analyzing, and investigating malware threats Understand adversary tactics and techniques Book Description Malware analysis and memory forensics are powerful analysis and investigation techniques used in reverse engineering, digital forensics, and incident response. With adversaries becoming sophisticated and carrying out advanced malware attacks on critical infrastructures, data centers, and private and public organizations, detecting, responding to, and investigating such intrusions is critical to information security professionals. Malware analysis and memory forensics have become must-have skills to fight advanced malware, targeted attacks, and security breaches. This book teaches you the concepts, techniques, and tools to understand the behavior and characteristics of malware through malware analysis. It also teaches you techniques to investigate and hunt malware using memory forensics. This book introduces you to the basics of malware analysis, and then gradually progresses into the more advanced concepts of code analysis and memory forensics. It uses real-world malware samples, infected memory images, and visual diagrams to help you gain a better understanding of the subject and to equip you with the skills required to analyze, investigate, and respond to malware-related incidents. What you will learn Create a safe and isolated lab environment for malware analysis Extract the metadata associated with malware Determine malwares interaction with the system Perform code analysis using IDA Pro and x64dbg Reverse-engineer various malware functionalities Reverse engineer and decode common encoding/encryption algorithms Reverse-engineer malware code injection and hooking techniques Investigate and hunt malware using memory forensics Who this book is for This book is for incident responders, cyber-security investigators, system administrators, malware analyst, forensic practitioners, student, or curious security professionals interested in learning malware analysis and memory forensics. Knowledge of programming languages such as C and Python is helpful but is not mandatory. If you have written few lines of code and have a basic understanding of programming concepts, youll be able to get most out of this book. Author Biography Monnappa K A works for Cisco Systems as an information security investigator focusing on threat intelligence and the investigation of advanced cyber attacks. He is a member of the Black Hat review board, the creator of Limon Linux sandbox, the winner of the Volatility plugin contest 2016, and the co-founder of the Cysinfo cybersecurity research community. He has presented and conducted training sessions at various security conferences including Black Hat, FIRST, OPCDE, and DSCI. He regularly conducts training at the Black Hat Security Conference in USA, Asia, and Europe. Details ISBN 1788392507 ISBN-13 9781788392501 Title Learning Malware Analysis Author Monnappa K.A. Format Paperback Year 2023 Pages 510 Publisher Packt Publishing Limited GE_Item_ID:118788256; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 68.88 USD

Location: Fairfield, Ohio

End Time: 2024-11-04T04:31:15.000Z

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Learning Malware Analysis: Explore the Concepts, Tools, and Techniques to Analyz

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9781788392501

Book Title: Learning Malware Analysis

Number of Pages: 510 Pages

Language: English

Publication Name: Learning Malware Analysis : Explore the Concepts, Tools, and Techniques to Analyze and Investigate Windows Malware

Publisher: Packt Publishing, The Limited

Subject: Systems Architecture / General, System Administration / General, Security / Viruses & Malware, Security / General, Operating Systems / Windows Desktop

Publication Year: 2018

Type: Textbook

Author: Monnappa K a

Item Length: 3.6 in

Subject Area: Computers

Item Width: 3 in

Format: Trade Paperback

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