Operating systems play a crucial role in computer systems, serving as the fundamental infrastructure that supports a wide range of applications and services. However, they are also prime targets for malicious actors seeking to exploit vulnerabilities and compromise system security. This is a crucial area that requires active research; however, OS vulnerabilities have not been actively studied in recent years. Therefore, we conduct a comprehensive analysis of OS vulnerabilities, aiming to enhance the understanding of their trends, severity, and common weaknesses. Our research methodology encompasses data preparation, sampling of vulnerable OS categories and versions, and an in-depth analysis of trends, severity levels, and types of OS vulnerabilities. We scrape the high-level data from reliable and recognized sources to generate two refined OS vulnerability datasets: one for OS categories and another for OS versions. Our study reveals the susceptibility of popular operating systems such as Windows, Windows Server, Debian Linux, and Mac OS. Specifically, Windows 10, Windows 11, Android (v11.0, v12.0, v13.0), Windows Server 2012, Debian Linux (v10.0, v11.0), Fedora 37, and HarmonyOS 2, are identified as the most vulnerable OS versions in recent years (2021–2022). Notably, these vulnerabilities exhibit a high severity, with maximum CVSS scores falling into the 7–8 and 9–10 range. Common vulnerability types, including CWE-119, CWE-20, CWE-200, and CWE-787, are prevalent in these OSs and require specific attention from OS vendors. The findings on trends, severity, and types of OS vulnerabilities from this research will serve as a valuable resource for vendors, security professionals, and end-users, empowering them to enhance OS security measures, prioritize vulnerability management efforts, and make informed decisions to mitigate risks associated with these vulnerabilities. 
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                            Scoring Cyber Vulnerabilities based on Their Impact on Organizational Goals *
                        
                    
    
            Vulnerability Management, which is a vital part of risk and resiliency management efforts, is a continuous process of identifying, classifying, prioritizing, and removing vulnerabilities on devices that are likely to be used by attackers to compromise a network component. For effective and efficient vulnerability management, which requires extensive resources– such as time and personnel, vulnerabilities should be prioritized based on their criticality. One of the most common methods to prioritize vulnerabilities is the Common Vulnerability Scoring System (CVSS). However, in its severity score, the National Institute of Standards and Technology (NIST) only provides the base metric values that include exploitability and impact information for the known vulnerabilities and acknowledges the importance of temporal and environmental characteristics to have a more accurate vulnerability assessment. There is no established method to conduct the integration of these metrics. In this study, we created a testbed to assess the vulnerabilities by considering the functional dependencies between vulnerable assets, other assets, and business processes. The experiment results revealed that a vulnerability's severity significantly changes from its CVSS base score when the vulnerable asset's characteristics and role inside the organization are considered. 
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                            - Award ID(s):
- 1948261
- PAR ID:
- 10315373
- Date Published:
- Journal Name:
- 2021 Systems and Information Engineering Design Symposium (SIEDS)
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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