Researchers have uncovered a new technique that allows Linux malware to bypass machine learning (ML)-based detection systems using subtle, functionality-preserving modifications. The study highlights growing concerns around the effectiveness of AI-driven security tools in detecting advanced threats targeting Linux environments. As Linux continues to dominate cloud infrastructure, high-performance computing, and IoT ecosystems, it has become […] The post Linux ELF Malware Generator Evades ML Detection Using Semantic-Preserving Changes appeared first on Cyber Security News.