Focus on salephpscripts vulnerabilities and metrics.
Last updated: 16 Apr 2025, 22:25 UTC
This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with salephpscripts. 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 salephpscripts CVEs: 2
Earliest CVE date: 02 Jun 2023, 04:15 UTC
Latest CVE date: 13 Jun 2024, 06:15 UTC
Latest CVE reference: CVE-2024-3552
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): 0.0%
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 salephpscripts, sorted by severity first and recency.
The Web Directory Free WordPress plugin before 1.7.0 does not sanitise and escape a parameter before using it in a SQL statement via an AJAX action available to unauthenticated users, leading to a SQL injection with different techniques like UNION, Time-Based and Error-Based.
The Web Directory Free for WordPress is vulnerable to SQL Injection via the ‘post_id’ parameter in versions up to, and including, 1.6.7 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for authenticated attackers with contributor-level privileges to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.