Mastering Python Forensics. Master the art of digital forensics and analysis with Python - Helion
Tytuł oryginału: Mastering Python Forensics. Master the art of digital forensics and analysis with Python
ISBN: 9781783988051
stron: 192, Format: ebook
Data wydania: 2015-10-30
Księgarnia: Helion
Cena książki: 129,00 zł
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.
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Spis treści
Mastering Python Forensics. Master the art of digital forensics and analysis with Python eBook -- spis treści
- 1. Introduction to Python ctypes and setting up the lab
- 2. Using Python for Windows/UNIX Forensics
- 3. Working with Forensics algorithms
- 4. Using Python for Network Forensics
- 5. Using Python for Virtualization Forensics
- 6. Using Python for Mobile Forensics
- 7. Using Python for Memory Forensics