A new study titled "MABFuzz: Multi-Armed Bandit Algorithms for Fuzzing Processors" delves into the fuzzing technique that introduces commands and prompts to a chip in order to cause the system to behave erratically and unpredictably. The irregular responses to "fuzzed" commands can then point researchers to potential vulnerabilities in the system. If the system does something unusual, researchers examine it to see if there is a security flaw that hackers could exploit. Researchers used reinforcement learning to select inputs for fuzz testing in this study.

Researchers have discovered a new Apple macOS backdoor called SpectralBlur, which overlaps with KANDYKORN, a known malware family linked to North Korean threat actors. According to security researcher Greg Lesnewich, SpectralBlur can upload files, run a shell, update its configuration, delete files, and more. The malware is similar to KANDYKORN, a sophisticated implant that serves as a Remote Access Trojan (RAT).

The US Justice Department (DoJ) recently announced that 19 people involved in the management and use of the xDedic cybercrime marketplace have been charged following its takedown in 2019.  The xDedic Marketplace was a site on the dark web where users sold and bought stolen server credentials and personal information.  The DoJ said over 700,000 credentials associated with servers housed by government, healthcare, transportation, higher education, financial, and other types of organizations from around the world were offered on the website.

In a new publication titled "Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations (NIST.AI.100-2)," computer scientists at the National Institute of Standards and Technology (NIST) and their collaborators identify the vulnerabilities of Machine Learning (ML) and Artificial Intelligence (AI). Their publication aims to help AI users and developers understand potential attacks and mitigation strategies. It is part of NIST's broader effort to support the development of trustworthy AI.

An adversary, tracked as UNC-0050, known for using the RemcosRAT remote surveillance and control tool against organizations in Ukraine, is back with a new method to transfer data that evades Endpoint Detection and Response (EDR) systems. In its latest campaign, the threat actor focuses on Ukrainian government entities. According to researchers at Uptycs, the attacks are likely politically motivated, to gather specific intelligence from Ukrainian government agencies.

The US Department of Energy (DOE) recently announced that it’s offering up to $70 million in funding for research into technologies that can boost the resilience and security of the energy sector.  The funding offered through this project, named the All-Hazards Energy Resilience program, is for research in four key areas: cyber threats, physical threats, natural disasters, and extreme weather events fueled by climate change.