CVE-2026-3659

April 15, 2026, 9:16 a.m.

6.4
Medium

Description

The WP Circliful plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'id' shortcode attribute of the [circliful] shortcode and via multiple shortcode attributes of the [circliful_direct] shortcode in all versions up to and including 1.2. This is due to insufficient input sanitization and output escaping on user-supplied shortcode attributes. Specifically, in the circliful_shortcode() function, the 'id' attribute value is concatenated directly into an HTML id attribute (line 285) without any escaping, allowing an attacker to break out of the double-quoted attribute and inject arbitrary HTML event handlers. Similarly, the circliful_direct_shortcode() function (line 257) outputs all shortcode attributes directly into HTML data-* attributes without escaping. This makes it possible for authenticated attackers, with Contributor-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page.

Product(s) Impacted

Vendor Product Versions
Wordpress
  • Wp Circliful
  • *

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.

CVSS Score

6.4 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: CHANGED
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N

    View Vector String

Timeline

Published: April 15, 2026, 9:16 a.m.
Last Modified: April 15, 2026, 9:16 a.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*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.