Book Image

Mastering Python Forensics

Book Image

Mastering Python Forensics

Overview of this book

Digital forensic analysis is the process of examining and extracting data digitally and examining it. Python has the combination of power, expressiveness, and ease of use that makes it an essential complementary tool to the traditional, off-the-shelf digital forensic tools. This book will teach you how to perform forensic analysis and investigations by exploring the capabilities of various Python libraries. The book starts by explaining the building blocks of the Python programming language, especially ctypes in-depth, along with how to automate typical tasks in file system analysis, common correlation tasks to discover anomalies, as well as templates for investigations. Next, we’ll show you cryptographic algorithms that can be used during forensic investigations to check for known files or to compare suspicious files with online services such as VirusTotal or Mobile-Sandbox. Moving on, you’ll learn how to sniff on the network, generate and analyze network flows, and perform log correlation with the help of Python scripts and tools. You’ll get to know about the concepts of virtualization and how virtualization influences IT forensics, and you’ll discover how to perform forensic analysis of a jailbroken/rooted mobile device that is based on iOS or Android. Finally, the book teaches you how to analyze volatile memory and search for known malware samples based on YARA rules.
Table of Contents (14 chapters)

Understanding Volatility basics


In general, memory forensics follow the same pattern as other forensic investigations:

  1. Selecting the target of the investigation.

  2. Acquiring forensic data.

  3. Forensic analysis.

In the previous chapters, we already presented various technologies on how to select the target of an investigation, for example, starting from the system with unusual settings in the virtualization layer.

The acquisition of forensic data for memory analysis is highly dependent on the environment and we will discuss it in the Using Volatility on Linux and Using Volatility on Android sections of this chapter.

Tip

Always consider the virtualization layer as data source

Acquisition of memory from a running operating system always requires administrative access to this system and it is an intrusive process, that is, the process of data acquisition changes the memory data. Moreover, advanced malware is capable of manipulating the memory management of the operation system to prevent its acquisition...