NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Likely Exploited Vulnerabilities, A Proposed Metric for Vulnerability Exploitation Probability
Published
Author(s)
Peter Mell, Jonathan M Spring
Abstract
This work presents a proposed security metric to determine the likelihood that a vulnerability has been observed to be exploited. Only a small fraction of the tens of thousands of software and hardware vulnerabilities that are published every year will be exploited. Predicting which ones is important for the efficiency and cost effectiveness of enterprise vulnerability remediation efforts. Currently, such remediation efforts rely on the Exploit Prediction Scoring System (EPSS), which has known inaccurate values, and Known Exploited Vulnerability (KEV) lists, which may not be comprehensive. The proposed likelihood metric may augment EPSS remediation (correcting some inaccuracies) and KEV lists (enabling measurements of comprehensiveness). However, collaboration with industry is necessary to provide necessary performance measurements.
Mell, P.
and Spring, J.
(2025),
Likely Exploited Vulnerabilities, A Proposed Metric for Vulnerability Exploitation Probability, NIST Cybersecurity White Papers (CSWP), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.CSWP.41, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=959845
(Accessed October 9, 2025)