Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Cybersecurity Attacks – Red Team Strategies

You're reading from   Cybersecurity Attacks – Red Team Strategies A practical guide to building a penetration testing program having homefield advantage

Arrow left icon
Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781838828868
Length 524 pages
Edition 1st Edition
Tools
Arrow right icon
Author (1):
Arrow left icon
Johann Rehberger Johann Rehberger
Author Profile Icon Johann Rehberger
Johann Rehberger
Arrow right icon
View More author details
Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Embracing the Red
2. Chapter 1: Establishing an Offensive Security Program FREE CHAPTER 3. Chapter 2: Managing an Offensive Security Team 4. Chapter 3: Measuring an Offensive Security Program 5. Chapter 4: Progressive Red Teaming Operations 6. Section 2: Tactics and Techniques
7. Chapter 5: Situational Awareness – Mapping Out the Homefield Using Graph Databases 8. Chapter 6: Building a Comprehensive Knowledge Graph 9. Chapter 7: Hunting for Credentials 10. Chapter 8: Advanced Credential Hunting 11. Chapter 9: Powerful Automation 12. Chapter 10: Protecting the Pen Tester 13. Chapter 11: Traps, Deceptions, and Honeypots 14. Chapter 12: Blue Team Tactics for the Red Team 15. Assessments 16. Another Book You May Enjoy

Using optical character recognition to find sensitive information in images

At times, when performing penetration tests, you might run across a large number of images. This could be images in S3 buckets or on a file share. It could also be images uploaded to a helpdesk service ticket or JIRA—maybe screenshots from an application where customers can submit bugs. These images might contain Personal Identifiable Information (PII), and sometimes even passwords or access keys.

Important Note

Technically, you are more likely to find sensitive data such as credit card numbers and phone numbers in images rather than the password.

A useful tool for performing optical character recognition is Tesseract, which was originally developed by HP and can be found here: https://github.com/tesseract-ocr/tesseract.

The following steps describe how to set up and use Tesseract:

  1. To get started on Ubuntu, just install it with apt:
    $ sudo apt install tesseract-ocr
  2. Afterward,...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime