8.8
CVE-2024-5329
- EPSS 0.63%
- Veröffentlicht 06.06.2024 10:15:10
- Zuletzt bearbeitet 21.11.2024 09:47:26
- Quelle security@wordfence.com
- CVE-Watchlists
- Unerledigt
Unlimited Elements For Elementor (Free Widgets, Addons, Templates) <= 1.5.109 - Authenticated (Contributor+) Blind SQL Injection via data[addonID] Parameter
The Unlimited Elements For Elementor (Free Widgets, Addons, Templates) plugin for WordPress is vulnerable to blind SQL Injection via the ‘data[addonID]’ parameter in all versions up to, and including, 1.5.109 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
Unlimited Elements For Elementor: Update to version 1.5.110, or a newer patched version
Weitere Schwachstelleninformationen
SystemWordPress Plugin
≫
Produkt
Unlimited Elements For Elementor
Version
* - 1.5.109
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Unlimited-elements ≫ Unlimited Elements For Elementor SwPlatformwordpress Version < 1.5.110
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.63% | 0.696 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| security@wordfence.com | 8.8 | 2.8 | 5.9 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
|
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.