Malware is one of the most prevalent and most insidious forms of cyber attack. Identifying and eliminating them are critical in minimizing the impact of a breach. As a cybersecurity incident responder ...

CAIRN, Cisco Talos' open source framework, is designed to help security practitioners hunt down malware that uses AI.

Many security teams spend over 30 hours a week on malware detection, threat assessment, and response report creation. This ...

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has released a new version of "Malware Next-Gen," now allowing the public to submit malware samples for analysis by CISA.

Researchers have built a hybrid malware detection framework combining abstract syntax trees, L-moments, graph analysis, and quantum-inspired neural networks that achieved 98.62 percent accuracy on ...

The landscape of malware analysis has significantly evolved, driven by the increasing sophistication of cyber threats and the advanced techniques being developed to combat them. Malware attacks on US ...

There are two main types of malware analysis: static and dynamic. Performing static analysis of a malicious binary means concentrating on analyizing its code without executing it. This type of ...

Google's Threat Intelligence Group found PROMPTFLUX malware that uses Gemini to rewrite its own code every hour, raising urgent cybersecurity alarms.

Aleksey Lapshin is CEO of ANY.RUN, interactive malware analysis sandbox that helps companies detect and analyze cyber threats in real-time. The rise of next-gen AI has brought about a new wave of ...

Document-based macro malware flies under the security radar by first detecting existing documents on PC. Researchers have found a new strain of document-based macro malware that evades discovery by ...

Malware has threatened computers, networks, and infrastructures since the eighties. There are two major technologies to defend against this, but most organizations rely almost exclusively on just one ...