CVE-2025-12468
Nov. 6, 2025, 7:45 p.m.
5.3
Medium
Description
The FunnelKit Automations – Email Marketing Automation and CRM for WordPress & WooCommerce plugin for WordPress is vulnerable to Sensitive Information Exposure in all versions up to, and including, 3.6.4.1 via the '/wc-coupons/' REST API endpoint. This is due to the endpoint being marked as a public API (`public_api = true`), which results in the endpoint being registered with `permission_callback => '__return_true'`, bypassing all authentication and capability checks. This makes it possible for unauthenticated attackers to extract sensitive data including all WooCommerce coupon codes, coupon IDs, and expiration status.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Wordfence |
|
|
| Woocommerce |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-200
Exposure of Sensitive Information to an Unauthorized Actor
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.
*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 | wordfence | funnelkit_automations | / | / | / | / | / | wordpress | / | / |
| a | woocommerce | woocommerce | / | / | / | / | / | wordpress | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: LOW
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Timeline
Published: Nov. 5, 2025, 10:15 a.m.
Last Modified: Nov. 6, 2025, 7:45 p.m.
Last Modified: Nov. 6, 2025, 7:45 p.m.
Status : Awaiting Analysis
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.