In this script, we'll harvest information about the PST file, taking note of the messages in each folder and generating statistics for word usage, frequent senders, and a heat map for all email activity. Using these metrics, we can go beyond the initial collection and reporting of messages and explore trends in the language used or communication patterns with certain individuals. The statistics section highlights examples of how we can utilize the raw data and build informative graphics to assist the examiner. We recommend tailoring the logic to your specific investigation to provide the most informative report possible. For example, for the word count, we'll only be looking at the top ten words that're alphanumeric and longer than four characters, to help reduce common words and symbols. This might not provide the correct...
Learning Python for Forensics - Second Edition
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Learning Python for Forensics - Second Edition
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Overview of this book
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.
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Current Title:
Learning Python for Forensics - Second Edition
Table of Contents (15 chapters)
Preface
Free Chapter
Now for Something Completely Different
Python Fundamentals
Parsing Text Files
Working with Serialized Data Structures
Databases in Python
Extracting Artifacts from Binary Files
Fuzzy Hashing
The Media Age
Uncovering Time
Rapidly Triaging Systems
Parsing Outlook PST Containers
Recovering Transient Database Records
Coming Full Circle
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