Book Image

Practical Security Automation and Testing

By : Tony Hsiang-Chih Hsu
Book Image

Practical Security Automation and Testing

By: Tony Hsiang-Chih Hsu

Overview of this book

Security automation is the automatic handling of software security assessments tasks. This book helps you to build your security automation framework to scan for vulnerabilities without human intervention. This book will teach you to adopt security automation techniques to continuously improve your entire software development and security testing. You will learn to use open source tools and techniques to integrate security testing tools directly into your CI/CD framework. With this book, you will see how to implement security inspection at every layer, such as secure code inspection, fuzz testing, Rest API, privacy, infrastructure security, and web UI testing. With the help of practical examples, this book will teach you to implement the combination of automation and Security in DevOps. You will learn about the integration of security testing results for an overall security status for projects. By the end of this book, you will be confident implementing automation security in all layers of your software development stages and will be able to build your own in-house security automation platform throughout your mobile and cloud releases.
Table of Contents (19 chapters)

Case study – searching for a private key

Let's take another case to look at searching for the compromise of API key information. An API key being hardcoded in the source code or a password being weakly encrypted in the source code are both common security vulnerabilities. To search for a private encryption key or hardcoded password requires the calculation of entropy which is a number to represent the level of randomness. A string with a high entropy value is normally an indicator of a potential API key, hash value, or encrypted message. In the following demonstration, we will also use the vulnerable Python API project to search for vulnerable API keys in the source code. The tools we will be using are entropy.py and DumpsterDiver. To download the script, execute the following command:

$ git clone https://github.com/securing/DumpsterDiver
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