Common Vulnerabilities And Exposures Records For NLP Analysis

Every Common Vulnerability and Exposure (CVE) record published since 1999, scrubbed and formatted for natural language processing tasks. The dataset contains all historical CVE entries, providing a complete timeline of publicly disclosed vulnerabilities. The original author and organization are unknown.

Use Cases

• Classify CVE severity levels using the descriptive text fields for each entry.
• Extract named entities like affected software products and vendors from CVE descriptions.
• Train models to predict vulnerability types (e.g., buffer overflow, XSS) based on textual CVE summaries.
• Perform temporal analysis on vulnerability trends using the publication dates associated with each CVE record.
• Generate synthetic CVE descriptions or summaries using the structured text data for training generative models.

Strengths

• Complete coverage of all CVE records published since 1999.
• Data is explicitly formatted and scrubbed for NLP task compatibility.

Limitations

• The total number of rows (CVE entries) is unspecified, making scale assessment difficult.
• Specific column names and data structure are unknown, complicating immediate analysis.
• Potential for class imbalance in vulnerability types or severity levels across the historical record.

Provenance

Collection Method

Scrubbed and formatted from the public CVE list.

Time Range

1999 to present