A 2020-2026 collection of vulnerability intelligence data, likely sourced from the National Vulnerability Database (NVD). The dataset appears to combine Common Vulnerabilities and Exposures (CVE) identifiers with severity (CVSS), exploit status (KEV), and exploit prediction (EPSS) scores. It was published on Kaggle, but the specific author, update frequency, and exact data collection method are not detailed.
Use Cases
- Prioritize patching efforts by correlating CVSS severity with KEV and EPSS scores (inferred from domain, verify after download)
- Train a machine learning model to predict the likelihood of a CVE being exploited (inferred from domain, verify after download)
- Analyze temporal trends in vulnerability disclosure and exploit activity from 2020 to 2026 (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform with integrated data exploration tools.
- Covers a multi-year period from 2020 to 2026, suggesting longitudinal analysis potential.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file size are unknown, which may limit suitability assessment.
Provenance
- Source
- Likely aggregates data from the National Vulnerability Database (NVD) and related sources.
- Time Range
- 2020-2026