In the continuation of exploring vulnerability prioritization tools and frameworks, the focus shifts to alternative systems for remediation prioritization. One such system is the Exploit Prediction Scoring System (EPSS), which aims to predict the probability of exploitation based on historical data. Using logistic regression, EPSS analyzes various variables to determine the likelihood of a vulnerability being exploited in the wild.
The creators of EPSS analyzed over 25,000 vulnerabilities from 2016 to 2018 and extracted 16 independent variables of interest, such as affected vendor, existence of exploit code, and number of references in the CVE entry. By weighing these variables, EPSS provides an estimate of the probability that a vulnerability will be exploited within a certain time frame. Updates to EPSS have enhanced its feature set, including more variables and a 30-day exploitation probability estimate.
While EPSS complements CVSS by focusing on the probability of exploitation rather than just severity, it has its limitations. Notably, EPSS scores are not displayed on the National Vulnerability Database (NVD) but can be found on other databases like VulnDB. When used in conjunction with other tools like CVSS and SSVC, EPSS can provide a more comprehensive view of vulnerability prioritization.
Another tool, the Stakeholder-specific Vulnerability Categorization (SSVC), offers a decision tree model to assist with prioritization by focusing on stakeholder-specific issues and decision outcomes rather than numerical scores. SSVC aims to provide clear recommendations for prioritization based on various factors related to exploitation and impact.
In addition to EPSS and SSVC, the article discusses the Known Exploited Vulnerabilities (KEV) Catalog, which lists vulnerabilities actively exploited by threat actors. The KEV Catalog provides a curated list of high-priority vulnerabilities, emphasizing the importance of remediation for known exploited flaws.
Furthermore, the article delves into other frameworks and tools such as CVE Trends, vPrioritizer, and Vulntology, each offering unique approaches to vulnerability prioritization. By combining and customizing these tools, organizations can enhance their decision-making process and tailor prioritization efforts to their specific needs and context.
Overall, the key takeaway is the importance of combining and customizing vulnerability prioritization tools to create a more informed and effective strategy for remediation. By considering various factors, including historical data, stakeholder-specific issues, and known exploited vulnerabilities, organizations can improve their security posture and better protect against potential threats.