CVE-2026-2442
March 28, 2026, 10:16 a.m.
5.3
Medium
Description
The Page Builder: Pagelayer – Drag and Drop website builder plugin for WordPress is vulnerable to Improper Neutralization of CRLF Sequences ('CRLF Injection') in all versions up to, and including, 2.0.7. This is due to the contact form handler performing placeholder substitution on attacker-controlled form fields and then passing the resulting values into email headers without removing CR/LF characters. This makes it possible for unauthenticated attackers to inject arbitrary email headers (for example Bcc / Cc) and abuse form email delivery via the 'email' parameter granted they can target a contact form configured to use placeholders in mail template headers.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Wordpress |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-93
Improper Neutralization of CRLF Sequences ('CRLF Injection')
The product uses CRLF (carriage return line feeds) as a special element, e.g. to separate lines or records, but it does not neutralize or incorrectly neutralizes CRLF sequences from inputs.
*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 | pagelayer | <2.0.8 | / | / | / | / | wordpress | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: LOW
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
Timeline
Published: March 28, 2026, 10:16 a.m.
Last Modified: March 28, 2026, 10:16 a.m.
Last Modified: March 28, 2026, 10:16 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.