VULNERABILITY ANALYSIS IN OPERATING SYSTEMS AND APPLICATION SOFTWARE PRODUCTS

The article’s abstract deals in studying the modern cybersecurity issues and the analysis of vulnerabilities identified in 2024 in operating systems (OS) and application software products (ASP). The main types of vulnerabilities areconsidered, including zero-day vulnerabilities, memory management issues, flaws in OS kernels, and authentication mechanisms. The article describes modern methods for detecting those vulnerabilities, such as static code analysis, fuzzing, and penetration testing. Special attention is given to threats in products by Ivanti, Microsoft, and popular web browsers. The importance of using monitoring systems (e. g. Splunk and ELK Stack) for event analysis and applying secure development methodologies like DevSecOps, which help to integrate security at all stages of the software development lifecycle, is emphasized. The article highlights the necessity of a comprehensive approach to protection and the use of advanced technologies, including machine learning and virtual containers, to enhance the security of information systems and ensure rapid response to threats. It is emphasized that only such an approach can significantly reduce the risks of cyberattacks and provide more reliable data protection. The conclusion emphasizes the necessity of a comprehensive approach to analyzing software security, in which promising toolkits using machine learning methods and virtual containers occupy an important place.