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    Mastering Python Forensics. Master the art of digital forensics and analysis with Python Michael Spreitzenbarth, Johann Uhrmann

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Mastering Python Forensics. Master the art of digital forensics and analysis with Python Michael Spreitzenbarth, Johann Uhrmann - okladka książki

    Mastering Python Forensics. Master the art of digital forensics and analysis with Python Michael Spreitzenbarth, Johann Uhrmann - okladka książki

    Mastering Python Forensics. Master the art of digital forensics and analysis with Python Michael Spreitzenbarth, Johann Uhrmann - audiobook MP3

    Mastering Python Forensics. Master the art of digital forensics and analysis with Python Michael Spreitzenbarth, Johann Uhrmann - audiobook CD

    Autorzy:
    Michael Spreitzenbarth, Johann Uhrmann
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    192
    Dostępne formaty:
         PDF
         ePub
         Mobi
    Zostało Ci na świąteczne zamówienie opcje wysyłki »
    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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    O autorach książki

    Dr. Michael Spreitzenbarth did his diploma thesis on mobile phone forensics, and after that he worked for several years as a freelancer in the IT security sector. In 2013, he finished his PhD in the field of Android forensics and mobile malware analysis. Since this time, he has been working at an internationally operating CERT and in an internal red team.

    The daily work of Dr. Michael Spreitzenbarth deals with the security of mobile systems, forensic analysis of smartphones and suspicious mobile applications, the investigation of security-related incidents, and simulating cyber security attacks.
    Dr. Johann Uhrmann holds a degree in computer science from the University of Applied Sciences Landshut and a doctor of engineering from the University of the German Federal Armed Forces. He has more than ten years of experience in software development, which includes working for start-ups, institutional research, and corporate environment. Johann has several years of experience in incident handling and IT governance, focusing on Linux and Cloud environments.

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