Botany One 
undercodetesting.com
The Adversary’s New Cloak: Evading ML Detection with EMBER2024
Introduction: The cybersecurity landscape is locked in an escalating arms race between offensive security professionals developing implants and defensive machine learning models designed to detect them. The EMBER2024 model represents the cutting edge in static PE malware classification, but as this analysis reveals, it can be systematically deceived. This article deconstructs a proven methodology for generating malicious executables that bypass this leading ML detection system, even with basic loading mechanisms.
