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A Practical Approach To Malware Analysis And Memory Forensics - 2019 Edition


Regular Price


$4,500

Ends on March 22

Overview

Malware analysis and memory forensics are powerful analysis and investigative 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, private and public organizations, detecting, responding and investigating such intrusions are essential to information security professionals. Malware analysis and memory Forensics have become a must-have skill for fighting advanced malwares, targeted attacks and security breaches. This training introduces you to the topic of malware analysis, reverse engineering, Windows internals, and techniques to perform malware and Rootkit investigations of real-world memory samples using the open source advanced memory forensics framework (Volatility). The training covers the analysis and investigation of various real-world malware samples and infected memory images(crimeware, APT malware, Rootkit, etc.) and contains hands-on labs to gain a better understanding of the subject.

The training provides practical guidance and attendees should walk away with the following skills:

  • How malware and Windows internals work

  • How to create a safe and isolated lab environment for malware analysis

  • What are the techniques and tools to perform malware analysis

  • How to perform static analysis to determine the metadata associated with malware

  • How to perform dynamic analysis of the malware to determine its interaction with the process, file system, registry and network

  • How to perform code analysis to determine the malware functionality

  • How to debug a malware using tools like IDA Pro, Ollydbg/Immunity debugger/x64dbg

  • How to analyze downloaders, droppers, keyloggers, fileless malwares, HTTP backdoors, etc.

  • What is Memory Forensics and its use in malware and digital investigation

  • Ability to acquire a memory image from suspect/infected systems

  • How to use the open source advanced memory forensics framework (Volatility)

  • Understanding the techniques used by the malwares to hide from Live forensic tools

  • Understanding the techniques used by Rootkits(code injection, hooking, etc.)

  • Investigative steps for detecting stealth and advanced malware

  • How memory forensics helps in malware analysis and reverse engineering

  • How to incorporate malware analysis and memory forensics in a sandbox

  • How to determine the network and host-based indicators (IOC)

  • Techniques to hunt malwares


Day 1:

Introduction to Malware Analysis

  • What is Malware

  • What they do

  • Why malware analysis

  • Types of malware analysis

  • Setting up an isolated lab environment


Static Analysis

  • Fingerprinting the malware

  • Extracting strings

  • Determining File obfuscation

  • Pattern matching using YARA

  • Fuzzing hashing & comparison

  • Understanding PE File characteristics

  • Disassembly

  • Hands-on lab exercise involves analyzing real malware sample


Dynamic Analysis/Behavioural analysis

  • Dynamic Analysis Steps

  • Understanding Dynamic Analysis tools

  • Simulating services

  • Performing Dynamic Analysis

  • Monitoring process, filesystem, registry and network activity

  • Determining the Indicators of compromise (host and network indicators)

  • Demo - Showing the static & dynamic analysis of real malware sample

  • Hands-on lab exercise involves analyzing real malware sample


Automating Malware Analysis(sandbox)

  • Custom Sandbox Overview

  • Working of Sandbox

  • Sandbox Features

  • Demo - Analyzing malware in the custom sandbox


Code Analysis

  • Code Analysis Overview

  • Disassembler & Debuggers

  • Code Analysis Tools

  • Basics of IDA Pro

  • Basics of Ollydbg/x64dbg

  • Understanding the API calls

  • Reversing Malware functionalities(Downloader, dropper, keylogger, code injection, HTTP backdoor)

  • Hands-on lab exercise involves analyzing real malware sample


Introduction to Memory Forensics

  • What is Memory Forensics

  • Why Memory Forensics

  • Steps in Memory Forensics

  • Memory acquisition and tools

  • Acquiring memory From physical machine

  • Acquiring memory from the virtual machine

  • Hands-on exercise involves acquiring the memory


Volatility Overview

  • Introduction to Volatility Advanced Memory Forensics Framework

  • Volatility Installation

  • Volatility basic commands

  • Determining the profile

  • Volatility help options

  • Running the plugin


Day 2:

Investigating Process

  • Understanding Process Internals

  • Process(EPROCESS) Structure

  • Process organization

  • Process Enumeration by walking the double linked list

  • Process relationship (parent-child relationship)

  • Understanding DKOM attacks

  • Process Enumeration using pool tag scanning

  • Volatility plugins to enumerate processes

  • Identifying malware process

  • Hands-on lab exercise(scenario based) involves investigating malware infected memory


Investigating Process handles & Registry

  • Objects and handles overview

  • Enumerating process handles using Volatility

  • Understanding Mutex

  • Detecting malware presence using mutex

  • Understanding the Registry

  • Investigating common registry keys using Volatility

  • Detecting malware persistence

  • Hands-on lab exercise(scenario based) involves investigating malware infected memory


Investigating Network Activities

  • Understanding malware network activities

  • Volatility Network Plugins

  • Investigating Network connections

  • Investigating Sockets

  • Hands-on lab exercise(scenario based) involves investigating malware infected memory


Investigation Process Memory

  • Process memory Internals

  • Listing DLLs using Volatility

  • Identifying hidden DLLs

  • Dumping malicious executable from memory

  • Dumping Dll's from memory

  • Scanning the memory for patterns(yarascan)

  • Hands-on lab exercise(scenario based) involves investigating malware infected memory


Investigating User-Mode Rootkits & Fileless Malwares

  • Code Injection

  • Types of Code injection

  • Remote DLL injection

  • Remote Code injection

  • Reflective DLL injection

  • Hollow process injection

  • Demo - Case Study

  • Hands-on lab exercise(scenario based) involves investigating malware infected memory


Memory Forensics in Sandbox technology

  • Sandbox Overview

  • Integrating Memory Forensics into a sandbox

  • Demo - showing the use of memory forensics in a custom sandbox


Investigating Kernel-Mode Rootkits

  • Understanding Rootkits

  • Understanding Functional call traversal in Windows

  • Level of Hooking/Modification on Windows

  • Kernel Volatility plugins

  • Hands-on lab exercise(scenario based) involves investigating malware infected memory

  • Demo - Rootkit Investigation


Memory Forensic Case Studies

  • Demo - Hunting an APT malware from Memory

Who Should Take This Course

This course is intended for

  • Forensic practitioners, incident responders, cyber-security investigators, security researchers, malware analysts, system administrators, software developers, students and curious security professionals who would like to expand their skills


  • Anyone interested in learning malware analysis and memory forensics.

Student Requirements

  • Should be familiar with using Windows/Linux

  • Should have an understanding of basic programming concepts, while programming experience is not mandatory.

What Students Should Bring

  • Laptop with minimum 6GB RAM and 40GB free hard disk space

  • Laptop with USB ports, lab samples, and custom Linux VM will be shared via USB sticks

  • VMware Workstation or VMware Fusion (even trial versions can be used).

  • Windows Operating system (preferably Windows 7 64-bit, even Windows 8 and above versions are fine) installed inside the VMware Workstation/Fusion. Students must have full administrator access for the Windows operating system installed inside the VMware Workstation/Fusion.

Note: VMware player or VirtualBox is not suitable for this training.

What Students Will Be Provided With

  • Course material (pdf copy)

  • Lab solution material

  • Videos used in the course

  • Malware samples used in the course/labs

  • Memory Images used in the course/labs

  • Linux VM (to be opened with VMware Workstation/Fusion) containing necessary tools and samples

Trainers

Monnappa K A works for Cisco Systems as an information security investigator focusing on threat intelligence, investigation of advanced cyber attacks, research on cyber espionage and targeted attacks. He is the author of the book "Learning Malware Analysis" and the member of Black Hat review board. He is the creator of Limon Linux sandbox and winner of Volatility plugin contest 2016. He is the co-founder of the cyber-security research community "Cysinfo" (https://www.cysinfo.com). He has presented at various security conferences including Black Hat, FIRST, SEC-T, DSCI, and Cysinfo on various topics which include memory forensics, malware analysis, reverse engineering and rootkit analysis. He has conducted training sessions at different security conferences including Black Hat, FIRST (Forum of Incident Response and Security teams), SEC-T, OPCDE, and DSCI. He has also authored various articles in eForensics and Hakin9 magazines. You can find some of his contributions to the community on his YouTube channel (http://www.youtube.com/c/MonnappaKA), and he publishes blog posts at https://cysinfo.com Twitter: @monnappa22

Sajan Shetty is a Cyber Security enthusiast. He is an active member of Cysinfo which is an open Cyber Security Community(https://www.cysinfo.com) committed to educate, empower, inspire and equip cyber-security professionals and students to better fight and defend against cyber threats. He has conducted training at Black Hat, and his primary fields of interests include machine learning, malware analysis, and memory forensics. He has various certifications in the field of machine learning and is passionate about applying machine learning techniques to solve cybersecurity problems.