Machine Learning Transferability for Malware Detection

Malware continues to be a predominant operational risk for organizations, especially when obfuscation techniques are used to evade detection. Despite the ongoing efforts in the development of Machine Learning ML detection approaches, there is still a lack of feature compatibility in public...

CVE-2019-11687

An issue was discovered in the DICOM Part 10 File Format in the NEMA DICOM Standard 1995 through 2019b and continuing in current implementations. The 128-byte preamble of a DICOM file that complies with this specification can contain arbitrary executable headers for multiple operating systems,...

A Google Drive 'Feature' Could Let Attackers Trick You Into Installing Malware

An unpatched security weakness in Google Drive could be exploited by malware attackers to distribute malicious files disguised as legitimate documents or images, enabling bad actors to perform spear-phishing attacks comparatively with a high success rate. The latest security issue—of which Google...