CVE-2025-2270
April 4, 2025, 6:15 a.m.
8.1
High
Description
The Countdown, Coming Soon, Maintenance – Countdown & Clock plugin for WordPress is vulnerable to Local File Inclusion in all versions up to, and including, 2.8.9.1 via the createCdObj function. This makes it possible for unauthenticated attackers to include and execute files with the specific filenames on the server, allowing the execution of any PHP code in those files. This can be used to bypass access controls, obtain sensitive data, or achieve code execution in some cases.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Wordpress |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.
*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 | countdown_clock_plugin | / | / | / | / | / | wordpress | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: HIGH
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
Timeline
Published: April 4, 2025, 6:15 a.m.
Last Modified: April 4, 2025, 6:15 a.m.
Last Modified: April 4, 2025, 6:15 a.m.
Status : Received
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.