Using a combination of ML techniques, Microsoft developed a detection system that outperforms all visual fingerprint-based benchmarks on all metrics while maintaining a 90% hit rate. click here to read full Article Read More...
A new research attack method demonstrated that replacing up to 50% of neurons in the AlextNet model with malware can go undetected under security tools, as the model’s accuracy remained above 93.1%. Popular technologies...
According to the study by Chinese researchers, malware can be embedded directly into the artificial neurons that make up machine learning models in a way that keeps them from being detected. click here to...
Introduction Nowadays, cybersecurity companies implement a variety of methods to discover new, previously unknown malware files. Machine learning (ML) is a powerful and widely used approach for this task. At Kaspersky we have a...
Eyeballer is meant for large-scope network penetration tests where you need to find “interesting” targets from a huge set of web-based hosts. Go ahead and use your favorite screenshotting tool like normal (EyeWitness or...
Give those screenshots of yours a quick eyeballing. Eyeballer is meant for large-scope network penetration tests where you need to find “interesting” targets from a huge set of web-based hosts. Go ahead and use...
Neural networks properly trained to learn approaches to brute-drive password guessing can be utilized to enforce small password protection without resorting to huge blocklists and cumbersome combinations. Impression and Report Resource website link Read...
