Ransomware variant Cerber has introduced a new loader that can avoid detection from machine learning tools, according to researchers at Trend Micro. The malware, which commonly targets the healthcare sector, spreads via email, connected to a self-extracting archive on Dropbox. The new loader allows the file to look safe to machine-learning tools, potentially bypassing detection. Additionally, the malware stops running if it detects analysis tools or certain anti-malware software on the targeted system, in order to avoid detection and analysis.

The NCSC wants developers to get serious on software security
The NCSC’s new Software Security Code of Practice has been praised by cyber professionals as a significant advancement in enhancing software supply chain security.