Compass Security Blog

Offensive Defense

Evading Static Machine Learning Malware Detection Models – Part 1: The Black-Box Approach

Modern anti-malware products such as Windows Defender increasingly rely on the use of machine learning algorithms to detect and classify harmful malware. In this two-part series, we are going to investigate the robustness of a static machine learning malware detection model trained with the EMBER dataset. For this purpose we will working with the Jigsaw ransomware.

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Bypassing Content-Security-Policy with DNS prefetching

Introduction The Content Security Policy (CSP) is one of the main web-based security mechanisms which helps websites’ owners to reduce their risks caused by Cross-Site-Scripting (XSS) or code injection attacks [1]. The CSP is nothing more than a policy that defines from where and to where a something can be loaded and fetched. This is […]

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