On January 31, 2020, Shmoocon held their annual conference in Washington D.C. Each year, the event offers a glimpse into the upcoming trends of the year, defined by the needs of the federal industry. Outlined below are the top three trends observed by our ForAllSecure engineers.
Over the last decade, there’s been an uptick in progressive Silicon Valley tech behemoths adopting an application security testing technique called continuous fuzzing. While effective, fuzzing largely remains a hidden secret to the larger developer and security communities.
In recent articles, ForAllSecure has discussed how we were able to use our next-generation fuzzing solution, Mayhem, to discover previously unknown vulnerabilities in several open source projects, including Netflix DIAL reference, Das U-Boot, and more. In this post, we will follow up on a prior article on using Mayhem to analyze..
This summer, I utilized ForAllSecure Mayhem, a next-generation fuzz testing solution, to analyze software that are heavily used. I felt these types of components in particular deserve more scrutiny from a security perspective. It is often believed that software that is frequently reused is more secure, because it has been reviewed..
How many potholes did you encounter on your way into work today? How many of them did you report to the city?
At ForAllSecure, our mission is to help developers find critical bugs in their software quicker, easier, and faster than standard development practices and tools. To facilitate this mission, we have looked to the open source world for exemplar software we can analyze with our next-generation fuzzer Mayhem, in order to get a stronger sense of..
Every so often, a technology comes along that seems to perfectly capture the zeitgeist: representing all that is both promising and troubling about the future.
Tell me if you’ve heard this: there is a new advanced network intrusion device that uses modern, super-smart Machine Learning (ML) to root out known and unknown intrusions. The IDS device is so smart, it learns what’s normal on your network and does not immediately inform you when it sees an anomaly. Or maybe it’s an intrusion prevention system..
In my previous post, we covered using bncov to do open-ended coverage analysis tasks to inform our testing. This time we’ll take a look at how to write better tests in the form of harness programs (also known as fuzz drivers, programs written to exercise specific parts of the code) that we will use for fuzz testing.