Focus on warren-daloyan vulnerabilities and metrics.
Last updated: 16 Jan 2026, 23:25 UTC
This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with warren-daloyan. 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 warren-daloyan CVEs: 2
Earliest CVE date: 23 Nov 2025, 19:15 UTC
Latest CVE date: 08 Dec 2025, 11:15 UTC
Latest CVE reference: CVE-2025-14229
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): -100.0%
Year Variation (Calendar): 0%
Month Growth Rate (30-day Rolling): -100.0%
Year Growth Rate (365-day Rolling): 0.0%
Average CVSS: 5.4
Max CVSS: 5.8
Critical CVEs (≥9): 0
| Range | Count |
|---|---|
| 0.0-3.9 | 0 |
| 4.0-6.9 | 2 |
| 7.0-8.9 | 0 |
| 9.0-10.0 | 0 |
These are the five CVEs with the highest CVSS scores for warren-daloyan, sorted by severity first and recency.
A security vulnerability has been detected in SourceCodester Inventory Management System 1.0. The affected element is an unknown function of the component SVC Report Export. Such manipulation leads to csv injection. It is possible to launch the attack remotely. The exploit has been disclosed publicly and may be used.
A weakness has been identified in SourceCodester Inventory Management System 1.0. The affected element is an unknown function of the file /model/user/resetPassword.php. Executing manipulation can lead to weak password recovery. The attack may be performed from remote. The exploit has been made available to the public and could be exploited.