Abstract: Researchers often approach malware detection as a binary classification problem. However, evidence indicates that malware can belong to multiple families simultaneously, and malicious files ...

If you use an Android phone, this deserves your attention. Cybersecurity researchers warn that hackers are using Hugging Face, a popular platform for sharing artificial intelligence (AI) tools, to ...

As artificial intelligence reshapes how software is built and deployed, it’s also transforming how cyberattacks are launched. Attackers are increasingly using AI to generate malware that can change ...

The recently discovered cloud-focused VoidLink malware framework is believed to have been developed by a single person with the help of an artificial intelligence model. Check Point Research published ...

A new malware campaign is turning WhatsApp Web into a weapon. Security researchers say a banking Trojan linked to Astaroth is now spreading automatically through chat messages, making the attack ...

The malware hijacks purchase commissions, tracks users, removes security headers, injects hidden iframes, and bypasses CAPTCHA. Koi Security has identified a malicious campaign targeting Firefox users ...

We are either at the dawn of AI-driven malware that rewrites itself on the fly, or we are seeing vendors and threat actors exaggerate its capabilities. Recent Google and MIT Sloan reports reignited ...

A new Android malware named Albiriox is being offered on cybercrime forums by Russian-speaking threat actors, according to online fraud management company Cleafy. Albiriox is a banking trojan designed ...

Threat actors are testing malware that incorporates large language models (LLMs) to create malware that can evade detection by security tools. In an analysis published earlier this month, Google's ...

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...

Google on Wednesday revealed five recent malware samples that were built using generative AI. The end results of each one were far below par with professional malware development, a finding that shows ...