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Testing

code intelligence

How to Test a Java Application

Creating effective test cases and the right testing strategy for Java applications can be a time-consuming and complex task. This is where specialized testing solutions come in. With the right setup, developers can catch bugs early in the development process, before they become more difficult and expensive to fix. Additionally, testing methods can help identify and mitigate security vulnerabilities, which is critical for protecting sensitive data and maintaining the integrity of the application.

code intelligence

7 Challenges of Embedded Software Security Testing in 2023

We live in a world that depends on embedded software. It’s in the cars we drive, the elevators we take and the airplanes we travel in. As these systems become more and more complex, it becomes increasingly challenging to ensure that the interaction between embedded software and hardware remains functional and secure. Due to the nature of embedded systems and the devastating consequences of failures, many traditional testing methods fall short of providing adequate security for them.

How to Find Bugs In Java at Scale With CI Fuzz CLI and JUnit | Code Intelligence

In this video, I demonstrate how to use CI Fuzz CLI, a simple and easy-to-use fuzz testing tool, to find unexpected bugs and vulnerabilities in Java software. I walk through the process of setting up and running a fuzz test, including creating a configuration file, adding dependencies to a Maven project, and writing JUnit-compatible fuzz tests. If you're interested in learning more about fuzz testing as a complementary approach to unit testing, this video is for you.
Trustwave

Say Hello to SpiderLabs: Trustwave Security Testing

Trustwave SpiderLabs is among the most well-respected teams in the cybersecurity industry, having gained a reputation for conducting cutting-edge research, plying the foggy corners of the darkweb for information, and detecting and hunting down threats. What is less well known is how Trustwave’s SpiderLabs’ various teams’ function and then pull together to create the formidable force that is the backbone of all Trustwave’s offerings.

mend

Shift-Left Testing and Its Benefits

Testing practices have been shifting left in the software development process due to the growing challenge of developing and delivering high-quality, secure software at today’s competitive pace. Agile methodologies and the DevOps approach were created to address these needs. In this post, we’ll map out the basics of shift-left practices in the DevOps pipeline and discuss how to shift left your open source security and compliance testing. Contents hide 1 What does shift left mean?

netwrix

Commando VM: An Introduction

Commando VM is a testing platform that Mandiant FireEye created for penetration testers who are more comfortable with the Windows operating system. Windows Commando VM is essentially the sister to Kali Linux, a Linux testing and malware analysis platform widely used by the penetration testing community. These security testing platforms are packaged with all the common solutions and scripts that a pentester would need for offensive testing.

kondukto

OWASP ASVS with your security testing tools

OWASP ASVS is a great project to provide a framework of security controls for design and define the basis of secure development. But the problem is when you decide to use these checks in your organization, you end up with a 71-page pdf file or an OWASP ASVS checklist (excel sheet). It is incredibly hard for organizations to adapt and spread the word within the company.

code intelligence

Mock Testing Embedded Systems With Fuzz Data

Mock testing, also called mocking, is an integral part of the embedded software development process as it allows you to test your code without relying on actual hardware. This can be extremely helpful when trying to debug your code or test new features. During fuzzing testing, applications are tested using unexpected or invalid inputs. Modern fuzzers generate these inputs based on feedback about the SUT’s interaction with previous test inputs.