smartbedded CVE Vulnerabilities & Metrics

Focus on smartbedded vulnerabilities and metrics.

Last updated: 25 Nov 2025, 23:25 UTC

About smartbedded Security Exposure

This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with smartbedded. 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 smartbedded CVEs: 1
Earliest CVE date: 21 May 2025, 16:15 UTC
Latest CVE date: 21 May 2025, 16:15 UTC

Latest CVE reference: CVE-2025-4008

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 smartbedded 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 smartbedded CVEs

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

All CVEs for smartbedded

CVE-2025-4008 smartbedded vulnerability CVSS: 0 21 May 2025, 16:15 UTC

The Meteobridge web interface let meteobridge administrator manage their weather station data collection and administer their meteobridge system through a web application written in CGI shell scripts and C. This web interface exposes an endpoint that is vulnerable to command injection. Remote unauthenticated attackers can gain arbitrary command execution with elevated privileges ( root ) on affected devices.