Epidemic modelling of malware propagation applies mathematical frameworks originally developed for biological contagion to the study of digital infections across interconnected devices. Central to ...

Antivirus software used to hunt for known malware, but now it’s predicting suspicious behavior before an attack fully lands.

In recent years, image-based feature extraction and deep learning classification methods are widely used in the field of malware detection, which helps improve the efficiency of automatic malicious ...

The worm that writes its own attack for every machine it encounters is not a warning about what is coming. It is a demonstration of what is already here. The question is whether the industry's ...

A threat group with possible connections to the operators of the notorious Necurs botnet has employed what security vendor Bromium this week described as an Amazon-style fulfillment model to host and ...

Anticipated benefits of the collaboration between Cisco Foundation AI and Hugging Face include more rigorous model vetting, early detection of vulnerabilities, and shared threat intelligence. The ...

A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle file ...