CVE-2025-4200
June 14, 2025, 9:15 a.m.
8.1
High
Description
The Zagg - Electronics & Accessories WooCommerce WordPress Theme theme for WordPress is vulnerable to Local File Inclusion in all versions up to, and including, 1.4.1 via the load_view() function that is called via at least three AJAX actions: 'load_more_post', 'load_shop', and 'load_more_product. This makes it possible for unauthenticated attackers to include and execute arbitrary files on the server, allowing the execution of any PHP code in those files. This can be used to bypass access controls, obtain sensitive data, or achieve code execution in cases where images and other “safe” file types can be uploaded and included.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Zagg |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-98
Improper Control of Filename for Include/Require Statement in PHP Program ('PHP Remote File Inclusion')
The PHP application receives input from an upstream component, but it does not restrict or incorrectly restricts the input before its usage in "require," "include," or similar functions.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | zagg | electronics_and_accessories_woocommerce_wordpress_theme | / | / | / | / | / | wordpress | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: HIGH
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
Timeline
Published: June 14, 2025, 9:15 a.m.
Last Modified: June 14, 2025, 9:15 a.m.
Last Modified: June 14, 2025, 9:15 a.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security@wordfence.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.