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Learning Python for Forensics

You're reading from   Learning Python for Forensics Learn the art of designing, developing, and deploying innovative forensic solutions through Python

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Product type Paperback
Published in May 2016
Last Updated in Feb 2025
Publisher Packt
ISBN-13 9781783285235
Length 488 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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 Miller Miller
Author Profile Icon Miller
Miller
Chapin Bryce Chapin Bryce
Author Profile Icon Chapin Bryce
Chapin Bryce
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Table of Contents (18) Chapters Close

Preface 1. Now For Something Completely Different FREE CHAPTER 2. Python Fundamentals 3. Parsing Text Files 4. Working with Serialized Data Structures 5. Databases in Python 6. Extracting Artifacts from Binary Files 7. Fuzzy Hashing 8. The Media Age 9. Uncovering Time 10. Did Someone Say Keylogger? 11. Parsing Outlook PST Containers 12. Recovering Transient Database Records 13. Coming Full Circle A. Installing Python B. Python Technical Details
C. Troubleshooting Exceptions Index

Our first iteration – bitcoin_address_lookup.v1.py


The first iteration of our script will focus primarily on ingesting and processing the data appropriately. In this script, we will print out transaction summaries for the account to the console. In later iterations, we will add logging and outputting data to a CSV file:

001 import argparse
002 import json
003 import urllib2
004 import unix_converter as unix
005 import sys
006
007 __author__ = 'Preston Miller & Chapin Bryce'
008 __date__ = '20160401'
009 __version__ = 0.01
010 __description__ = 'This scripts downloads address transactions using blockchain.info public APIs'

We will use five modules in the initial version of the script. The argparse, json, urllib2, and sys modules are all part of the standard library. The unix_converter module is the mostly unmodified script that we wrote in Chapter 2, Python Fundamentals, and is used here to convert Unix timestamps in the Bitcoin transaction data. Both argparse and urllib2 have been used...

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