Python digital forensics cookbook : effective Python recipes for digital investigations / Preston Miller, Chapin Bryce.

Format:

Book

Author/Creator:

Miller, Preston, author.

Bryce, Chapin, author.

Language:

English

Subjects (All):

Python (Computer program language).

Physical Description:

1 online resource (1 volume) : illustrations

Edition:

1st edition

Place of Publication:

Birmingham, England : Packt, 2017.

System Details:

text file

Biography/History:

Bryce Chapin: Chapin Bryce is a senior consultant at a global firm that is a leader in digital forensics and incident response investigations. After graduating from Champlain College, with a bachelor's degree in computer and digital forensics, Chapin dove into the field of digital forensics and incident response joining the GIAC advisory board and earning four GIAC certifications: GCIH, GCFE, GCFA, and GNFA. As a member of multiple ongoing research and development projects, he has authored several books and articles in professional and academic publications, including Python Digital Forensics Cookbook (2018 Digital Forensics Book of the Year, Forensic 4Cast), Learning Python for Forensics First Edition, and Digital Forensic Magazine. Miller Preston: Preston Miller is a consultant at an internationally recognized risk management firm. Preston holds an undergraduate degree from Vassar College and a master's degree in digital forensics from Marshall University. While at Marshall, Preston unanimously received the prestigious J. Edgar Hoover Foundation's scientific scholarship. Preston is a published author, recently of Python Digital Forensics Cookbook, which won the Forensic 4: cast Digital Forensics Book of the Year award in 2018. Preston is a member of the GIAC advisory board and holds multiple industry-recognized certifications in his field.

Summary:

Over 60 recipes to help you learn digital forensics and leverage Python scripts to amplify your examinations About This Book Develop code that extracts vital information from everyday forensic acquisitions. Increase the quality and efficiency of your forensic analysis. Leverage the latest resources and capabilities available to the forensic community. Who This Book Is For If you are a digital forensics examiner, cyber security specialist, or analyst at heart, understand the basics of Python, and want to take it to the next level, this is the book for you. Along the way, you will be introduced to a number of libraries suitable for parsing forensic artifacts. Readers will be able to use and build upon the scripts we develop to elevate their analysis. What You Will Learn Understand how Python can enhance digital forensics and investigations Learn to access the contents of, and process, forensic evidence containers Explore malware through automated static analysis Extract and review message contents from a variety of email formats Add depth and context to discovered IP addresses and domains through various Application Program Interfaces (APIs) Delve into mobile forensics and recover deleted messages from SQLite databases Index large logs into a platform to better query and visualize datasets In Detail Technology plays an increasingly large role in our daily lives and shows no sign of stopping. Now, more than ever, it is paramount that an investigator develops programming expertise to deal with increasingly large datasets. By leveraging the Python recipes explored throughout this book, we make the complex simple, quickly extracting relevant information from large datasets. You will explore, develop, and deploy Python code and libraries to provide meaningful results that can be immediately applied to your investigations. Throughout the Python Digital Forensics Cookbook, recipes include topics such as working with forensic evidence containers, parsing mobile and desktop operating system artifacts, extracting embedded metadata from documents and executables, and identifying indicators of compromise. You will also learn to integrate scripts with Application Program Interfaces (APIs) such as VirusTotal and PassiveTotal, and tools such as Axiom, Cellebrite, and EnCase. By the end of the book, you will have a sound understanding of Python and how you can use it to process artifacts in your investigations. Style and approach Our succinct recipes take a no-...

Contents:

Cover

Copyright

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Dedication

Table of Contents

Preface

Chapter 1: Essential Scripting and File Information Recipes

Introduction

Handling arguments like an adult

Getting started

How to do it…

How it works…

There's more…

Iterating over loose files

Recording file attributes

Copying files, attributes, and timestamps

Hashing files and data streams

Keeping track with a progress bar

Logging results

Multiple hands make light work

Chapter 2: Creating Artifact Report Recipes

Using HTML templates

How to do it...

How it works...

There's more...

Creating a paper trail

Working with CSVs

Visualizing events with Excel

Auditing your work

Chapter 3: A Deep Dive into Mobile Forensic Recipes

Parsing PLIST files

Handling SQLite databases

Identifying gaps in SQLite databases.

Getting started

See also

Processing iTunes backups

Putting Wi-Fi on the map

Digging deep to recover messages

Chapter 4: Extracting Embedded Metadata Recipes

Extracting audio and video metadata

The big picture

Mining for PDF metadata

Reviewing executable metadata

Reading office document metadata

Integrating our metadata extractor with EnCase

Chapter 5: Networking and Indicators of Compromise Recipes

Getting a jump start with IEF

Coming into contact with IEF

Beautiful Soup

Going hunting for viruses

Gathering intel

Totally passive

Chapter 6: Reading Emails and Taking Names Recipes

Parsing EML files

Viewing MSG files

How to do it.

How it works...

Ordering Takeout

What's in the box?!

Parsing PST and OST mailboxes

Chapter 7: Log-Based Artifact Recipes

About time

Parsing IIS web logs with RegEx

Going spelunking

Interpreting the daily.out log

Adding daily.out parsing to Axiom

Scanning for indicators with YARA

Chapter 8: Working with Forensic Evidence Container Recipes

Opening acquisitions

Gathering acquisition and media information

Iterating through files

Processing files within the container

Searching for hashes

Chapter 9: Exploring Windows Forensic Artifacts Recipes - Part I

One man's trash is a forensic examiner's treasure

A sticky situation

Reading the registry

Gathering user activity

The missing link

Searching high and low

Chapter 10: Exploring Windows Forensic Artifacts Recipes - Part II

Parsing prefetch files

A series of fortunate events

Indexing internet history

Shadow of a former self

Dissecting the SRUM database

Conclusion

Index.

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed October 6, 2017).

OCLC:

1007536293