Learning Python for Forensics - Second Edition
Digital forensics plays an integral role in solving complex cybercrimes and helping organizations make sense of cybersecurity incidents. This second edition of Learning Python for Forensics illustrates how Python can be used to support these digital investigations and permits the examiner to automate the parsing of forensic artifacts to spend more time examining actionable data.
The second edition of Learning Python for Forensics will illustrate how to develop Python scripts using an iterative design. Further, it demonstrates how to leverage the various built-in and community-sourced forensics scripts and libraries available for Python today. This book will help strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials.
By the end of this book, you will build a collection of Python scripts capable of investigating an array of forensic artifacts and master the skills of extracting metadata and parsing complex data structures into actionable reports. Most importantly, you will have developed a foundation upon which to build as you continue to learn Python and enhance your efficacy as an investigator.
|Course Length||14 hours 16 minutes|
|Date Of Publication||31 Jan 2019|
|Creating frameworks in Python|
|Introduction to EXIF metadata|
|Introduction to ID3 metadata|
|Introduction to Office metadata|
|The Metadata_Parser framework overview|
|Parsing EXIF metadata – exif_parser.py|
|Parsing ID3 metdata – id3_parser.py|
|Parsing Office metadata – office_parser.py|
|Moving on to our writers|