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Integrating Python with Leading Computer Forensics Platforms
book

Integrating Python with Leading Computer Forensics Platforms

by Chet Hosmer
September 2016
Intermediate to advanced content levelIntermediate to advanced
216 pages
4h 26m
English
Syngress
Content preview from Integrating Python with Leading Computer Forensics Platforms
Chapter 5

Integrating Python With Leading Forensic Platforms

Abstract

This chapter focuses on the integration of Python using the postprocessing approach. The integration is applied to WetStone’s US-LATT (USB-Live Acquisition and Triage Tool).

Keywords

WetStone; US-LATT; NIJ; memScanner.py; pfDiscover.py; Memory snapshot; Class; Object; Python dictionaries; Iteration; Regular expressions; argparse; Zeroization; Secure; USB; Secure partition; CSV; Email; Credit card; Social security number; URL; Strong password; Zip code; Phone number

Introduction

We examined the integration of Python with MPE + and EnCase in Chapters 3 and 4. In both of these cases, the integration was accomplished by launching Python scripts from within the forensic platform. ...

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Publisher Resources

ISBN: 9780128099506