# Windows Forensic Analysis | Proper Explanation

**URL:** <https://onehack.st/t/windows-forensic-analysis-proper-explanation/160282>\
**Category:** Tutorials & Methods\
**Tags:** ebook, hacking, windows\
**Created:** [October 26, 2020, 12:51pm UTC](https://onehack.st/t/windows-forensic-analysis-proper-explanation/160282 "2020-10-26T12:51:03Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Prometheus](https://onehack.st/user_avatar/onehack.st/prometheus/32/34950_2.png) [@Prometheus](https://onehack.st/u/Prometheus)\
**Post date:** [October 26, 2020, 12:51pm UTC](https://onehack.st/t/windows-forensic-analysis-proper-explanation/160282/1 "2020-10-26T12:51:03Z")

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![-](https://onehack.st/uploads/default/original/3X/2/0/20b805c75b6ae5dcd8b27019b6590e3617d23d9b.png)

**Organization of this Book**

This book is organized into nine chapters following this preface. Those chapters are:

**Chapter 1: Live Response: Data Collection**  
This chapter addresses the basic issues of collecting volatile data from live systems. Because of  
several factors (an increase in sophistication of cybercrime, increases in storage capacity, etc.),  
Preface xix live response has gained a great deal of interest, and responders are recognizing the need for  
live response more and more every day. This increase in interest has not been restricted to consultants such as me, either—law enforcement is beginning to see the need for collecting volatile information from live systems in order to support an investigation. This chapter lists tools and methodologies you can use to collect volatile information and presents the most recent incarnation of the Forensic Server Project.

**Chapter 2: Live Response: Data Analysis**  
I’ve separated data collection and data analysis, as I see them as two separate issues. In many  
cases, the data that you want to collect doesn’t change, as you want to get a snapshot of the  
activity on the system at a point in time. However, how you go about interpreting that data  
is what may be important to your case. Also, it’s not unusual to approach a scene and find  
that the initial incident report is only a symptom of what is really happening on the system  
or that it has nothing to do with the real issue at all. During live response, how you analyze  
the data you’ve collected, and what you look for, can depend on whether you’re investigating  
a fraud case, an intrusion, or a malware infection. This chapter presents a framework for  
correlating and analyzing the data collected during live response in order to develop a  
cohesive picture of activity on the system and make analysis and identification of the root  
cause a bit easier and more understandable.

**Chapter 3: Windows Memory Analysis**  
Windows memory analysis is an area of study that has really taken off since its formal  
introduction to the community during the summer of 2005, and it really grew by leaps and  
bounds in 2008. In the past, if the contents of physical memory (i.e., RAM) were collected  
from a live system, they were searched for strings (i.e., potential passwords), IP and e-mail  
addresses, and then archived. Unfortunately, any information found in this manner had little  
context. Thanks to research that has been done since the DFRWS 2005 Memory Challenge,  
methods of obtaining RAM dumps have been investigated, and data within those RAM  
dumps can be identified and extracted on a much more granular level, even to the point of  
pulling an executable image out of the dump file. This chapter attempts to provide a snapshot  
of what tools are available for performing memory collection and analysis, demonstrating what  
data can be collected (e.g., Registry hives, encrypted passwords, etc.) from memory dumps.

**Chapter 4: Registry Analysis**  
The Windows Registry maintains a veritable plethora of information regarding the state of  
the system, and in many cases, the Registry itself can be treated like a log file, as the  
information that it maintains has a time stamp associated with it in some manner. However,  
because of the nature of how the data is stored, searches for ASCII or even Unicode strings  
do not reveal some of the most important and useful pieces of information. This chapter…

Go To **Base64** & Decode:

`aHR0cHM6Ly9tZWdhLm56L2ZpbGUvbmZ3WFhLcVQjQjA5NndhaFdRblFiQ2lmVDd0dkxNekhQQ1FKeVVacFVjc01aQkhJZ2FJZw==`

Enjoy!
