6.5
CVE-2025-10144
- EPSS 0.04%
- Veröffentlicht 24.11.2025 22:28:24
- Zuletzt bearbeitet 25.11.2025 22:16:16
- Quelle security@wordfence.com
- CVE-Watchlists
- Unerledigt
Perfect Brands for WooCommerce <= 3.6.2 - Authenticated (Contributor+) SQL Injection
The Perfect Brands for WooCommerce plugin for WordPress is vulnerable to time-based SQL Injection via the `brands` attribute of the `products` shortcode in all versions up to, and including, 3.6.2 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 access and above, to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.
Mögliche Gegenmaßnahme
Perfect Brands for WooCommerce: Update to version 3.6.3, or a newer patched version
Verknüpft mit AI von unstrukturierten Daten zu bestehenden CPE der NVD
Weitere Schwachstelleninformationen
SystemWordPress Plugin
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Produkt
Perfect Brands for WooCommerce
Version
*-3.6.2
Daten sind bereitgestellt durch das CVE Programm von einer CVE Numbering Authority (CNA) (Unstrukturiert).
Herstellerquadlayers
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Produkt
Perfect Brands for WooCommerce
Default Statusunaffected
Version <=
3.6.2
Version
*
Status
affected
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.04% | 0.114 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| security@wordfence.com | 6.5 | 2.8 | 3.6 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
|
CWE-89 Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.