Malware and Memory Forensics Course Overview

Malware and Memory Forensics Course Overview

The "Malware and Memory Forensics" course is an in-depth program designed to equip learners with the skills needed to detect, analyze, and mitigate the threats posed by malware using advanced forensic techniques. It covers the essentials of malware forensics, emphasizing the importance of memory analysis for uncovering malicious activities that are not easily detected through traditional disk-based approaches.

Starting with Module 1, students learn about different types of analysis, including swap space, memory analysis, and data acquisition following the guidelines of RFC 3227. As the course progresses, Module 2 delves into in-memory data, scrutinizing current processes, memory-mapped files, caches, and open ports, which are critical for identifying the footprint of malware.

Module 3 addresses Memory Architectural Issues, providing insights into data structures, Windows Objects, processes, and system files that are often manipulated by malware. Module 4 introduces an array of tools such as Volatility, Dumpit.exe, and OSForensics, which are pivotal for conducting malware forensics investigations efficiently.

Finally, Module 5 focuses on the Registry in Memory, reinforcing the use of forensic tools to examine registry artifacts critical for tracing malware actions. Through this course, learners will gain a robust understanding of malware forensics, enabling them to protect and defend their systems against sophisticated cyber threats.

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  • Live Online Training (Duration : 8 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

To ensure that participants are well-prepared for the Malware and Memory Forensics course and can fully benefit from its content, the following prerequisites are recommended:

  • Basic understanding of computer operating systems, particularly Windows, as the course often references system-specific features and structures.
  • Familiarity with the fundamentals of computer memory (RAM) and how it functions in a computing environment.
  • Knowledge of computer networks and the principles of network security to comprehend the implications of malware infections and their patterns.
  • Experience with or exposure to the command line interface (CLI), as many of the tools used in the course are CLI-based.
  • An introductory level of knowledge in digital forensics or incident response will be beneficial for understanding the context and objectives of memory forensics.
  • Ability to read and understand technical documents such as RFCs (e.g., RFC 3227 for data acquisition) to follow industry standards covered in the course.
  • Basic problem-solving skills and a logical approach to troubleshooting, which are essential for analyzing and interpreting forensic data.
  • Willingness to learn and use forensic analysis tools; prior exposure to any forensic software is an advantage but not a requirement.

Please note that while the above prerequisites are recommended for a solid foundation, we encourage all interested learners to enroll, as the course is designed to guide you through both the foundational and advanced concepts of malware and memory forensics.

Target Audience for Malware and Memory Forensics

The "Malware and Memory Forensics" course equips IT professionals with advanced skills to analyze and combat cyber threats.

  • Cybersecurity Analysts
  • Incident Responders
  • Digital Forensic Investigators
  • IT Security Professionals
  • Malware Researchers
  • System Administrators
  • Network Engineers
  • Law Enforcement Officials
  • Security Consultants
  • Government Defense Agencies Staff
  • Security Operations Center (SOC) Personnel
  • Threat Intelligence Analysts
  • Vulnerability Analysts
  • Computer Forensics Students and Educators

Learning Objectives - What you will Learn in this Malware and Memory Forensics?

Introduction to the Course's Learning Outcomes

This course equips learners with the skills to analyze and interpret memory data for identifying and mitigating malware threats, using advanced forensic tools and techniques.

Learning Objectives and Outcomes

  • Understand the significance of swap space analysis and its role in memory forensics.
  • Gain proficiency in various memory analysis methods to detect and investigate malware incidents.
  • Master the process of data acquisition in compliance with RFC 3227 guidelines for forensic investigations.
  • Acquire the ability to identify and scrutinize in-memory data such as current processes, memory-mapped files, caches, and open ports.
  • Comprehend memory architectural issues, including data structures, Windows objects, and processes, and how they relate to forensic analysis.
  • Learn to navigate and interpret complex data structures such as handles and pool-tags within memory dumps.
  • Develop the skills to analyze the contents of %SystemDrive%/hiberfil.sys and Page/Swap Files for forensic evidence.
  • Gain hands-on experience with industry-standard tools like Volatility, Dumpit.exe, hibr2bin, Win32dd, Win64dd, and OSForensics.
  • Understand how to extract and analyze registry data from memory to uncover indicators of compromise or malicious activity.
  • Enhance capabilities in creating a comprehensive report based on the findings from memory forensics to support cybersecurity investigations.