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cveanalysis's Introduction

CVE Analysis Dashboard ๐Ÿ“Š - UPDATED DAILY

Introduction

This project is dedicated to analyzing and visualizing Common Vulnerabilities and Exposures (CVE) data ๐Ÿ›ก๏ธ. It focuses on identifying CVEs by their publication date, and whether they're missing Common Platform Enumerations (CPEs) or references.

Features

  • 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.

Heatmaps ๐Ÿ”ฅ

The generated heatmaps include:

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

Usage

To generate the heatmaps:

python generate_cve_heatmap.py

cveanalysis's People

Contributors

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Stargazers

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Watchers

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