Key Takeaways
- In IBM 2024, organizations with faster time to identify and contain have lower costs; IBM reports numeric median identification times and containment times by percentile
- In CISA’s KEV catalog, each record includes severity, product, vulnerability name/CVE ID, and due date—each field is measurable and can be used for SLA tracking
- In Microsoft Security Update Guide, each bulletin includes numeric counts of CVEs fixed per update release (bulletin totals)
- In Verizon 2024 DBIR, the average number of records exposed per breach can be derived from DBIR tables; DBIR provides numeric data for breach size distribution
- SANS Top 25 Most Dangerous Software Errors list contains 25 error types (numeric list size)
- CISA BOD 22-01 applies to federal civilian executive branch agencies (numeric directive applicability) and includes deadlines for KEV remediation (directive text)
- In 2023, 53% of organizations had not fully implemented vulnerability management processes or lacked automated tools (per Gartner vulnerability management surveys reported by reputable outlets)
- As of 2024, the CVE Program recorded hundreds of thousands of CVE entries overall; for example, NVD provides a downloadable dataset and counts of vulnerabilities and exposures by year (NVD statistics)
- NVD provides an annual count of CVEs and detailed breakdowns by severity; for 2023, NVD lists 28,000+ vulnerabilities in its enriched dataset (NVD full listing by year)
- NVD provides a per-year CVE listing; for 2022, NVD lists 24,000+ vulnerabilities in its enriched dataset (NVD full listing by year)
- Cisco Talos found that a significant share of vulnerabilities in observed attacks are exploitation of publicly available vulnerabilities (Cisco Talos threat research reports quantify impacted exploit types)
- CIS Critical Security Controls v8 includes Control 8 (Audit Log Management) and Control 4 (Secure Configuration) with measurable implementation requirements (CIS provides specific control objectives)
- 75% of known exploited vulnerabilities (KEV) in CISA’s catalog have a publicly available patch from the vendor by the time of inclusion (percentage of KEV with known remediation).
- Since the SolarWinds Orion incident disclosure, the typical observed attacker dwell time reported in incident response analysis has been on the order of weeks rather than days (median dwell time).
- The IBM Security X-Force publishes statistics about exploited vulnerabilities in the wild, including share of incidents associated with specific CVE classes (percentage distribution across exploit patterns).
Faster detection and remediation, backed by quantified vulnerability and patch data, cuts breach costs and risk.
Related reading
01 · Category
Performance Metrics12 stats
Performance Metrics Interpretation
02 · Category
Cost Analysis1 stats
Cost Analysis Interpretation
03 · Category
Industry Trends9 stats
Industry Trends Interpretation
04 · Category
Vulnerability Landscape5 stats
Vulnerability Landscape Interpretation
05 · Category
Mitigation Effectiveness2 stats
Mitigation Effectiveness Interpretation
More related reading
06 · Category
Patch Availability1 stats
Patch Availability Interpretation
07 · Category
Attacker Dwell Time2 stats
Attacker Dwell Time Interpretation
08 · Category
Vulnerability Volume3 stats
Vulnerability Volume Interpretation
09 · Category
Vulnerability Assessment2 stats
Vulnerability Assessment Interpretation
10 · Category
Breach Data1 stats
Breach Data Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Sophie Moreland. (2026, February 13). Vulnerability Statistics. Gitnux. https://gitnux.org/vulnerability-statistics
Sophie Moreland. "Vulnerability Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/vulnerability-statistics.
Sophie Moreland. 2026. "Vulnerability Statistics." Gitnux. https://gitnux.org/vulnerability-statistics.
Sources & references
38 datasets cited across this report · attribution is report-level
+18 additional datasets cited (not shown individually)

