The pandemic isn’t the only thing shaking up development organizations. Application security is a top concern and security work is “shifting left” and becoming more intertwined with development. In this podcast, Security Ledger Editor in Chief Paul Roberts talks about it with Jonathan Hunt, Vice President of Security at the firm GitLab.
In this Spotlight episode of the Podcast, sponsored* by ForAllSecure we speak with CEO David Brumley about application “fuzzing” and how advancements in machine learning technology are allowing security researchers to find more and more serious vulnerabilities faster. The challenge now, Brumley says, is to keep up with the machines.
Billions of sensors that are already deployed lack protections against attacks that manipulate the physical properties of devices to cause sensors and embedded devices to malfunction, researchers working in the U.S. and China have warned.
In-brief: Close to five billion “fuzzing” tests conducted during 2016 reveal protocols used by industrial control systems, vehicles and Internet of Things devices to be weaker, on average, with many crashing hundreds of times and revealing vulnerabilities that could be used by malicious actors. (Editor’s note: added comment by Chris Clark. Aug 9 2017 – PFR)
In-brief: Researchers at universities in Germany, working with the security firm Trend Micro, discovered more than 100 vulnerabilities in GitHub code repositories simply by looking for re-used code from tutorials and other free code samples. The same method could be harnessed by cyber criminals or other sophisticated attackers to find and exploit vulnerabilities in software applications, the researchers warned.
