Focus on kubeflow vulnerabilities and metrics.
Last updated: 08 Mar 2025, 23:25 UTC
This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with kubeflow. 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 kubeflow CVEs: 3
Earliest CVE date: 14 Dec 2023, 13:15 UTC
Latest CVE date: 06 Jun 2024, 19:16 UTC
Latest CVE reference: CVE-2024-5552
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.
Month Variation (Calendar): 0%
Year Variation (Calendar): -50.0%
Month Growth Rate (30-day Rolling): 0.0%
Year Growth Rate (365-day Rolling): -50.0%
Average CVSS: 0.0
Max CVSS: 0
Critical CVEs (≥9): 0
Range | Count |
---|---|
0.0-3.9 | 3 |
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 kubeflow, sorted by severity first and recency.
kubeflow/kubeflow is vulnerable to a Regular Expression Denial of Service (ReDoS) attack due to inefficient regular expression complexity in its email validation mechanism. An attacker can remotely exploit this vulnerability without authentication by providing specially crafted input that causes the application to consume an excessive amount of CPU resources. This vulnerability affects the latest version of kubeflow/kubeflow, specifically within the centraldashboard-angular backend component. The impact of exploiting this vulnerability includes resource exhaustion, and service disruption.
Cross-site Scripting (XSS) - Reflected in kubeflow/kubeflow
Server-Side Request Forgery (SSRF) in kubeflow/kubeflow