What is the CVSS score of CVE-2025-6744?

CVE-2025-6744 has a CVSS 3.1 base score of 7.3 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L. EPSS exploitation probability: 0.5%.

Which versions of Woodmart are affected by CVE-2025-6744?

Organizations using all face moderate risk from CVE-2025-6744, a code injection vulnerability rated CVSS 7.3.

How to fix or mitigate CVE-2025-6744?

Within 7 days: Identify all affected systems running all and apply vendor patches promptly. Validate that input sanitization is in place for all user-controlled parameters.

Woodmart CVE-2025-6744

EUVD-2025-20414 HIGH

Code Injection (CWE-94)

2025-07-08 security@wordfence.com

WordPress RCE Code Injection Woodmart PHP

7.3

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

7.3 HIGH

AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

Low

Integrity

Low

Availability

Low

Lifecycle Timeline

EUVD ID Assigned

Mar 16, 2026 - 04:21 euvd

EUVD-2025-20414

Analysis Generated

Mar 16, 2026 - 04:21 vuln.today

CVE Published

Jul 08, 2025 - 10:15 nvd

HIGH 7.3

DescriptionCVE.org

The The Woodmart theme for WordPress is vulnerable to arbitrary shortcode execution in all versions up to, and including, 8.2.3. This is due to the software allowing users to execute an action that does not properly validate a value before running do_shortcode through the woodmart_get_products_shortcode() function. This makes it possible for unauthenticated attackers to execute arbitrary shortcodes.

Analysis

Technical ContextAI

Remote code execution allows an attacker to run arbitrary commands or code on the target system over a network without prior authentication. This vulnerability is classified as Code Injection (CWE-94).

RemediationAI

Apply vendor patches immediately. Restrict network access to vulnerable services. Implement network segmentation and monitoring for anomalous activity.