Focus on containers vulnerabilities and metrics.
Last updated: 08 Mar 2025, 23:25 UTC
This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with containers. 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.
Total containers CVEs: 2
Earliest CVE date: 04 Sep 2024, 15:15 UTC
Latest CVE date: 01 Oct 2024, 19:15 UTC
Latest CVE reference: CVE-2024-9341
30-day Count (Rolling): 0
365-day Count (Rolling): 2
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.
Month Variation (Calendar): 0%
Year Variation (Calendar): 0%
Month Growth Rate (30-day Rolling): 0.0%
Year Growth Rate (365-day Rolling): 0.0%
Average CVSS: 0.0
Max CVSS: 0
Critical CVEs (≥9): 0
| Range | Count |
|---|---|
| 0.0-3.9 | 2 |
| 4.0-6.9 | 0 |
| 7.0-8.9 | 0 |
| 9.0-10.0 | 0 |
These are the five CVEs with the highest CVSS scores for containers, sorted by severity first and recency.
A flaw was found in Go. When FIPS mode is enabled on a system, container runtimes may incorrectly handle certain file paths due to improper validation in the containers/common Go library. This flaw allows an attacker to exploit symbolic links and trick the system into mounting sensitive host directories inside a container. This issue also allows attackers to access critical host files, bypassing the intended isolation between containers and the host system.
A flaw was found in Aardvark-dns, which is vulnerable to a Denial of Service attack due to the serial processing of TCP DNS queries. An attacker can exploit this flaw by keeping a TCP connection open indefinitely, causing the server to become unresponsive and resulting in other DNS queries timing out. This issue prevents legitimate users from accessing DNS services, thereby disrupting normal operations and causing service downtime.