matthewwithanm CVE Vulnerabilities & Metrics

Focus on matthewwithanm vulnerabilities and metrics.

Last updated: 26 Nov 2025, 23:25 UTC

About matthewwithanm Security Exposure

This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with matthewwithanm. We track both calendar-based metrics (using fixed periods) and rolling metrics (using gliding windows) to give you a comprehensive view of security trends and risk evolution. Use these insights to assess risk and plan your patching strategy.

For a broader perspective on cybersecurity threats, explore the comprehensive list of CVEs by vendor and product. Stay updated on critical vulnerabilities affecting major software and hardware providers.

Global CVE Overview

Total matthewwithanm CVEs: 1
Earliest CVE date: 26 Apr 2025, 22:15 UTC
Latest CVE date: 26 Apr 2025, 22:15 UTC

Latest CVE reference: CVE-2025-46656

Rolling Stats

30-day Count (Rolling): 0
365-day Count (Rolling): 1

Calendar-based Variation

Calendar-based Variation compares a fixed calendar period (e.g., this month versus the same month last year), while Rolling Growth Rate uses a continuous window (e.g., last 30 days versus the previous 30 days) to capture trends independent of calendar boundaries.

Variations & Growth

Month Variation (Calendar): 0%
Year Variation (Calendar): 0%

Month Growth Rate (30-day Rolling): 0.0%
Year Growth Rate (365-day Rolling): 0.0%

Monthly CVE Trends (current vs previous Year)

Annual CVE Trends (Last 20 Years)

Critical matthewwithanm CVEs (CVSS ≥ 9) Over 20 Years

CVSS Stats

Average CVSS: 0.0

Max CVSS: 0

Critical CVEs (≥9): 0

CVSS Range vs. Count

Range Count
0.0-3.9 1
4.0-6.9 0
7.0-8.9 0
9.0-10.0 0

CVSS Distribution Chart

Top 5 Highest CVSS matthewwithanm CVEs

These are the five CVEs with the highest CVSS scores for matthewwithanm, sorted by severity first and recency.

All CVEs for matthewwithanm

CVE-2025-46656 matthewwithanm vulnerability CVSS: 0 26 Apr 2025, 22:15 UTC

python-markdownify (aka markdownify) before 0.14.1 allows large headline prefixes such as <h9999999> in addition to <h1> through <h6>. This causes memory consumption.