CVE-2026-3512
March 18, 2026, 2:52 p.m.
6.1
Medium
Description
The Writeprint Stylometry plugin for WordPress is vulnerable to Reflected Cross-Site Scripting via the 'p' GET parameter in all versions up to and including 0.1. This is due to insufficient input sanitization and output escaping in the bjl_wprintstylo_comments_nav() function. The function directly outputs the $_GET['p'] parameter into an HTML href attribute without any escaping. This makes it possible for authenticated attackers with Contributor-level permissions or higher to inject arbitrary web scripts in pages that execute if they can successfully trick another user into performing an action such as clicking on a link.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Wordpress |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.
*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 | writeprint_stylometry_plugin | / | / | / | / | / | wordpress | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: CHANGED
- Confidentiality Impact: LOW
- Integrity Impact: LOW
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
Timeline
Published: March 18, 2026, 7:16 a.m.
Last Modified: March 18, 2026, 2:52 p.m.
Last Modified: March 18, 2026, 2:52 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
*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.