CVE-2025-11893

Oct. 25, 2025, 7:15 a.m.

8.8
High

Description

The Charitable – Donation Plugin for WordPress – Fundraising with Recurring Donations & More plugin for WordPress is vulnerable to SQL Injection via the donation_ids parameter in all versions up to, and including, 1.8.8.4 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 Subscriber-level access and above, to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database. Exploitation of the vulnerability requires a paid donation.

Product(s) Impacted

Vendor Product Versions
Charitable
  • Donation Plugin For Wordpress
  • <=1.8.8.4

Weaknesses

Common security weaknesses mapped to this vulnerability.

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.

*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 charitable donation_plugin_for_wordpress <=1.8.8.4 / / / / wordpress / /

CVSS Score

8.8 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: Oct. 25, 2025, 7:15 a.m.
Last Modified: Oct. 25, 2025, 7:15 a.m.

Status : Received

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

More info

Source

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.