Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI-automated Fuzzing Uncovers Two More Vulnerabilities in wolfSSL

Daniel Pouzzner from wolfSSL has challenged us to find 3 more vulnerabilities in the wolfSSL library, after we found the first one in October 2024. We weren't quite able to find three, but here are the additional two that we found: Both vulnerabilities were fixed in wolfSSL version 5.8.0, released on 24 April 2025. The fuzz tests that found these vulnerabilities were generated by our AI Test Agent.

How to Get Started With Fuzz Testing

If you recognize the benefits that fuzz testing can bring to your software security but are new to it, read on. In this blog post, you’ll learn what you need to consider before implementing fuzz testing in your company to ensure a smooth and successful adoption. So, you’ve chosen the light side and decided to find and fix bugs in your code before they become a problem. Well done, and congrats!

Memory safety bugs: an in-depth look at critical issues

Memory safety vulnerabilities remain among the most widespread and exploited security issues. They occur in C and C++ projects, which are widely used across embedded systems, including automotive, medical devices, and avionics. Read on to learn why they can happen and how to prevent them.

Medical Device Regulation (MDR): Why Cybersecurity And Fuzz Testing Are No Longer Optional

The MDR came into full effect in 2021, but many devices are still certified under MDD and will need to transition. As a result, Europe is facing a period of regulatory limbo. The MDR outlines what manufacturers must achieve but not how to do it, creating a gap between regulatory intent and practical implementation. To help bridge this gap, manufacturers rely on.

AI-automated Fuzzing Found a Dynamic Stack Buffer Overflow in abseil-cpp

A dynamic stack buffer overflow vulnerability in the Abseil C++ library (abseil-cpp) was autonomously identified through AI-enhanced fuzz testing using CI Fuzz’s AI Test Agent and has been fully addressed with a patch. This post dives into the vulnerability, its discovery, and its implications for systems relying on this widely-used library.

Spark Demo: Code Intelligent's AI Test Agent

Demo: AI Test Agent in Action Discover the benefits of CI Fuzz 2.0, our powerful tool that simplifies fuzzing to a single command. The demo will also highlight root cause analysis capabilities, showcasing how vulnerabilities can be identified and addressed efficiently, this demo will uncover several real-world severe vulnerabilities uncovered by AI Test Agent in widely used open-source libraries during the past few months.

Fuzzing Forward: Lowering Barriers to Secure Code with AI

Introducing “Spark” Code Intelligence’s AI Test Agent Fuzz testing is a proven powerhouse for uncovering critical bugs, yet its full potential often goes untapped due to the heavy manual workload it demands. But what if that effort could be a thing of the past? Enter “Spark” Code Intelligence’s AI Test Agent—a revolutionary solution that automates the discovery of vulnerabilities, bringing the power of advanced security testing, like fuzzing, into reach for all.

How AI-Automated Fuzzing Uncovered a Vulnerability in wolfSSL

Despite wolfSSL’s rigorous software testing practices, in October 2024, Code Intelligence—an application security vendor—discovered a potentially exploitable defect in wolfSSL. Remarkably, the potential vulnerability was found without human intervention. The only manual step was executing a single command to trigger autonomous fuzz testing. Watch the video for a live demo of AI-automated fuzzing.

AI-Automated Fuzzing Found a Heap Buffer Overflow in AWS C Common Library

A critical heap buffer overflow vulnerability in the AWS C Common library was discovered autonomously through an AI-automated fuzz testing solution, CI Fuzz, and has been fully addressed with a patch. In this post, we explore the vulnerability and its potential impact on embedded systems.