CVE-2026-3599
April 16, 2026, 6:16 a.m.
7.5
High
Description
The Riaxe Product Customizer plugin for WordPress is vulnerable to SQL Injection via the 'options' parameter keys within 'product_data' of the /wp-json/InkXEProductDesignerLite/add-item-to-cart REST API endpoint in all versions up to, and including, 2.1.2. This is due to insufficient escaping on the user-supplied parameter and insufficient preparation on the existing SQL query. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Riaxe |
|
|
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 | riaxe | riaxe_product_customizer | / | / | / | / | / | wordpress | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Timeline
Published: April 16, 2026, 6:16 a.m.
Last Modified: April 16, 2026, 6:16 a.m.
Last Modified: April 16, 2026, 6:16 a.m.
Status : Received
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.