Hackers are impersonating IT staff in Microsoft Teams to trick employees into installing malware, giving attackers stealthy access to corporate networks.

Cybersecurity strategist Dima Shaposhnykov argues that organizations can no longer rely on conventional threat detection models when facing adversaries using generative AI, automated reconnaissance, ...

Systems that are engineered to fail safely recover faster, contain incidents more predictably and inspire more confidence from regulators, partners and customers.

Hackers abused Microsoft Teams and Quick Assist to deploy A0Backdoor malware at financial and healthcare organizations, researchers warn.

What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...

Cybersecurity researchers are warning that the foundations of digital trust are under strain as malware grows more adaptive, evasive and collaborative. In response, a team of Romanian scientists has ...

This project is a comprehensive malware detection system developed as part of a semester project. It combines machine learning with web technologies to provide safe, static analysis of executable ...

Abstract: Malware continues to be the largest issue that Internet users confront in the modern world. Polymorphism is one of this kind of malware's characteristics. Malware that continuously alters ...

The Gootloader malware, typically used for initial access, is now using a malformed ZIP archive designed to evade detection by concatenating up to 1,000 archives. In doing so, the malware, which is an ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.