CVE-2025-13393
Jan. 10, 2026, 2:15 p.m.
4.3
Medium
Description
The Featured Image from URL (FIFU) plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 5.3.1. This is due to insufficient validation of user-supplied URLs before passing them to the getimagesize() function in the Elementor widget integration. This makes it possible for authenticated attackers, with Contributor-level access and above, to make web requests to arbitrary locations originating from the web application and can be used to query and modify information from internal services via the fifu_input_url parameter in the FIFU Elementor widget granted they have permissions to use Elementor.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Wordpress |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-918
Server-Side Request Forgery (SSRF)
The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.
*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 | wordpress | featured_image_from_url | / | / | / | / | / | wordpress | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: LOW
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
Timeline
Published: Jan. 10, 2026, 2:15 p.m.
Last Modified: Jan. 10, 2026, 2:15 p.m.
Last Modified: Jan. 10, 2026, 2:15 p.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.