This project is dedicated to analyzing and visualizing Common Vulnerabilities and Exposures (CVE) data 🛡️. It focuses on identifying CVEs by their publication date, and whether they're missing Common Platform Enumerations (CPEs) or references.

• Data Extraction: Automatically downloads CVE data from the NVD feeds.
• Data Processing: Parses the JSON data to identify CVEs with/without CPEs and references.
• Visualization: Generates daily and weekly heatmap visualizations to provide insights at a glance.
• Reporting: Creates a detailed analysis report of CVE trends over time.

The generated heatmaps include:

1. Total CVEs Per Day: Shows the total count of new CVEs reported each day.
2. CVEs Without References: Indicates the number of CVEs lacking references on a daily basis.
3. CVEs Without CPEs: Highlights the daily CVEs that are missing CPEs.
4. Median and Mean EPSS scores: Monitor EPSS for changes overtime.
5. EPSS for CISA KEV added after 2023: Keeping track of EPSS on CISA KEV
6. CVSS for CISA KEV added after 2023: Keeping track of EPSS on CISA KEV

To generate the heatmaps:

python generate_cve_heatmap.py