The threat actor used a combination of open-source and publicly available tools to establish their attack framework ...

Network attack detection system is utilized to find the anomalies with the aim of finding hackers before they make immense damage to our system. Nowadays business environments need high level security ...

Abstract: In order to detect malicious web scripts automatically, many detection methods using static features and machine learning are proposed. However, the existing detection methods can only ...

The researchers believe the appeal of ML formats is because many security tools do not yet support robust detection of embedded malicious behavior within such files. “Security tools are at a primitive ...

From zero-day exploits to large-scale bot attacks — the demand for a powerful, self-hosted, and user-friendly web application security solution has never been greater. SafeLine is currently the most ...

Over 70% of organic halogens, representing chlorine- and bromine-containing disinfection byproducts (Cl-/Br-DBPs), remain unidentified after 50 years of research. This work introduces a streamlined ...