CRJan 3, 2018

A Look at the Time Delays in CVSS Vulnerability Scoring

arXiv:1801.00938v174 citations
Originality Synthesis-oriented
AI Analysis

This addresses a specific issue in software vulnerability management for security researchers and practitioners, but it is incremental as it builds on existing empirical research traditions.

The paper investigates time delays between CVE publication and CVSS scoring in the NVD, finding that CVSS content does not statistically affect delays, but delays show a strong decreasing annual trend based on analysis of over 80,000 vulnerabilities.

This empirical paper examines the time delays that occur between the publication of Common Vulnerabilities and Exposures (CVEs) in the National Vulnerability Database (NVD) and the Common Vulnerability Scoring System (CVSS) information attached to published CVEs. According to the empirical results based on regularized regression analysis of over eighty thousand archived vulnerabilities, (i) the CVSS content does not statistically influence the time delays, which, however, (ii) are strongly affected by a decreasing annual trend. In addition to these results, the paper contributes to the empirical research tradition of software vulnerabilities by a couple of insights on misuses of statistical methodology.

Foundations

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