The China-backed threat group is targeting AWS, Google, Azure, and Alibaba cloud environments and using typosquatting to ...
In the SOC of the future, autonomous defense moves at machine speed, agents add context and coordination, and humans focus on ...
Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...
Researchers in Morocco analyzed cybersecurity challenges in smart grids, highlighting AI-driven detection and defense strategies against threats like distributed denial-of-service, false data ...
A new info-stealing malware named Infinity Stealer is targeting macOS systems with a Python payload packaged as an executable using the open-source Nuitka compiler. The attack uses the ClickFix ...
Abstract: The number of malware attacks has been growing at an alarming rate especially in the recent years. Cyber criminals equip themselves with the latest technologies and discover new methods of ...
Iranian government hackers are using Telegram as a way to steal data from hacked dissidents, opposition groups, and journalists who oppose the regime around the world, according to an FBI alert ...
Abstract: This work introduces a deep learning model for malware identification, using features derived from the dynamic network behavior of executables. The dataset comprises 78 numerical features ...
During tax season, threat actors reliably take advantage of the urgency and familiarity of time-sensitive emails, including refund notices, payroll forms, filing reminders, and requests from tax ...
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