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Python Digital Forensics Cookbook

You're reading from  Python Digital Forensics Cookbook

Product type Book
Published in Sep 2017
Publisher Packt
ISBN-13 9781783987467
Pages 412 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Chapin Bryce Chapin Bryce
Profile icon Chapin Bryce
Preston Miller Preston Miller
Profile icon Preston Miller
View More author details

Table of Contents (11) Chapters

Preface 1. Essential Scripting and File Information Recipes 2. Creating Artifact Report Recipes 3. A Deep Dive into Mobile Forensic Recipes 4. Extracting Embedded Metadata Recipes 5. Networking and Indicators of Compromise Recipes 6. Reading Emails and Taking Names Recipes 7. Log-Based Artifact Recipes 8. Working with Forensic Evidence Container Recipes 9. Exploring Windows Forensic Artifacts Recipes - Part I 10. Exploring Windows Forensic Artifacts Recipes - Part II

Scanning for indicators with YARA

Recipe Difficulty: Medium

Python Version: 3.5

Operating System: Any

As a bonus section, we will leverage the powerful Yet Another Recursive Algorithm (YARA) regular-expression engine to scan for files of interest and indicators of compromise. YARA is a pattern-matching utility designed for use in malware identification and incident response. Many tools use this engine as the backbone for identification of likely malicious files. Through this recipe, we learn how to take YARA rules, compile them, and match them across one or more folders or files. While we will not cover the steps required to form a YARA rule, one can learn more about the process from their documentation at http://yara.readthedocs.io/en/latest/writingrules.html.

Getting started

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