Python Digital Forensics Cookbook

Key FeaturesDevelop 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.Book DescriptionTechnology plays an increasingly large role in our daily life and shows no signs 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.What you will learnUnderstand how Python can enhance digital forensics and investigationsLearn to access the contents of, and process, forensic evidence containersExplore malware through automated static analysisExtract and review message contents from a variety of email formatsAdd 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 databasesIndex large logs into a platform to better query and visualize datasetsAbout the AuthorPreston 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 at Marshall University. While at Marshall, Preston received the prestigious J. Edgar Hoover Foundation's Scientific Scholarship in recognition of academic achievements. Shortly after graduating, Preston began working on Learning Python for Forensics.Chapin Bryce is a professional in the digital forensics community. After studying computers and digital forensics at Champlain College, Chapin joined a firm leading the field of digital forensics and investigations. In his downtime, Chapin enjoys working on Python scripts, writing, and skiing (weather permitting). As a member of multiple ongoing research and development projects, Chapin has authored several articles in professional and academic publications.

Author: Preston Miller

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