The research investigates machine learning-based techniques for detecting Android malware and app-collusion. Existing methods are reviewed, detailing their strengths and limitations. For instance, while current techniques effectively identify malware, they overlook colluding Android apps and single-app malware. To improve detection accuracy and computational efficiency, the research proposes a novel approach that emphasizes a more limited set of essential app permissions and distinguishes between generic and colluding malware.
400+ SAP NetWeaver Devices Vulnerable to 0-Day Attacks that Exploited in the Wild
Shadow Servers have identified 454 vulnerable SAP NetWeaver systems affected by a critical zero-day flaw, CVE-2025-31324, allowing unauthenticated file uploads and potential system compromise. Discovered
