Researchers from the Czech Technical University in Prague have developed a new adversarial malware generator targeting Linux ELF binaries. It achieves a 67.74% evasion rate against ML-based malware detectors while keeping the payload fully functional. Published on arXiv on April 24, 2026, the study by Lukáš Hrdonka and Martin Jurecek exposes a critical blind spot […] The post Linux ELF Malware Generator Evades ML Detection With Semantic-Preserving Changes appeared first on Cyber Security News.