Amazon Web Services Open Sources a KVM Based Fuzzing Framework: The Future of Security Testing?

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Imagine a company whose software is the backbone of critical systems worldwide. From banks to governments, transportation to healthcare, their technology influences the lives of millions. Now imagine this technology has a weakness that could be exploited, causing catastrophic failures and untold damage.

This scenario has played out more than once in recent years, with world-wide ransomware attacks causing millions of dollars in damages. The importance of secure software cannot be overstated, and yet effective security testing is often an afterthought.

Enter Amazon Web Services (AWS), one of the biggest names in cloud computing. In September 2021, AWS announced they are open-sourcing their fuzzing framework that enables scalable security testing of software. The framework is built on KVM, a type of virtualization software, and offers numerous advantages over traditional fuzzing techniques. The question is, could this be the future of security testing?

Examples

To understand the significance of AWS's fuzzing framework, it's worth looking at some quantifiable examples of what it can do. Fuzzing is a process of input injection, where a program is bombarded with various input sequences, with the aim of identifying vulnerabilities. The efficiency of fuzzing is measured in bugs found per unit time.

Traditionally, fuzzing has been done on individual machines, and while it's a relatively simple process, it can be time-consuming. AWS's framework, however, allows for incredibly fast and efficient testing thanks to its ability to scale horizontally, meaning a vast amount of machines can be used in parallel. What would have taken a week on a single machine can now be completed in hours.

Take the example of Jenkins, a popular Java-based server used for automation and continuous integration. A traditional fuzzing approach on Jenkins took over a week and still only identified two bugs. AWS's KVM-based fuzzing framework found the same two bugs in under four hours, using 50 virtual machines.

Another example is Firefox, Mozilla's widely-used web browser. Snyk, a software security company, reported finding 21 security vulnerabilities in Firefox using AWS's fuzzing framework, compared to just three found using traditional fuzzing.

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In conclusion, there are several key takeaways from AWS's KVM-based fuzzing framework:

  1. Speed and Scalability: With the ability to harness hundreds of virtual machines in parallel, the framework can identify bugs faster than traditional fuzzing methods.
  2. Improved Bug Detection: Quantifiable examples show that the framework can identify more vulnerabilities than traditional approaches.
  3. Open-Source: Open-sourcing the framework means developers can use it to test their own software, contributing to the overall improvement of software security.

Overall, AWS's fuzzing framework is a game-changer for security testing. While there is always room for improvement, the potential benefits are clear. With the scale and importance of software systems only set to increase, it's more crucial than ever to prioritize security testing. AWS's framework could be the answer, raising the bar for security standards across the industry.

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Article Category

Security Testing, Software Development, Cloud Computing

Akash Mittal Tech Article

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