Focus on konradpl99 vulnerabilities and metrics.
Last updated: 29 Mar 2026, 22:25 UTC
This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with konradpl99. 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 konradpl99 CVEs: 2
Earliest CVE date: 12 Mar 2026, 16:16 UTC
Latest CVE date: 12 Mar 2026, 16:16 UTC
Latest CVE reference: CVE-2019-25539
30-day Count (Rolling): 2
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 konradpl99, sorted by severity first and recency.
202CMS v10 beta contains a blind SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the log_user parameter. Attackers can send POST requests to index.php with crafted SQL payloads using time-based blind injection techniques to extract sensitive database information.
202CMS v10 beta contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the log_user parameter. Attackers can send crafted requests with malicious SQL statements in the log_user field to extract sensitive database information or modify database contents.