Malware detection and classification have become critical areas of research in cybersecurity, particularly as traditional methods struggle to keep pace with the evolving tactics employed by ...

New custom malware loader written in JPHP is wreaking havoc The custom payload is difficult to detect using cybersecurity tools The malware-loader can deploy custom payloads as required Trustwave ...

Moreover, AI-powered malware can apply machine learning to mimic the behaviors of manual systems, making it more difficult for traditional intrusion detection systems to identify. It can even ...

Android Malware Exploits a Microsoft-Related Security Blind Spot to Avoid Detection Your email has ... s .NET MAUI to fly under the radar in a new cybersecurity dust-up this week.

In 2024, cybersecurity threats gained significant ... healthcare emerged as the most targeted industry for malware attacks in 2024, with a detection rate of 21.82 per cent. The hospitality sector ...

Cyber security Center at PMU is a state-of-the-art center in the region that is working in multiple domains to enhance cybersecurity in interconnected ecosystems such as the Internet of Things (IoT), ...

Latrodectus is a versatile malware family that employs advanced ... Its ability to morph and adapt is a concern for cybersecurity professionals worldwide. Latrodectus has been observed in multiple ...