CVE-2026-10780
June 16, 2026, 3:22 p.m.
4.3
Medium
Description
The Static Block plugin for WordPress is vulnerable to Insecure Direct Object Reference in all versions up to, and including, 2.2. This is due to the static_block_content() shortcode handler retrieving a post via get_post() using an attacker-supplied 'id' attribute and outputting its post_content without verifying the post's status (private, draft, pending) or the requesting user's capability to view it. This makes it possible for authenticated attackers, with contributor-level access and above, to read the contents of arbitrary posts, including private and draft static blocks (and any other post type) created by administrators, by embedding the [static_block_content id="X"] shortcode in their own content and previewing it.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Wordpress |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-639
Authorization Bypass Through User-Controlled Key
The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data.
*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 | static_block | / | / | / | / | / | wordpress | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: LOW
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
Timeline
Published: June 16, 2026, 6:16 a.m.
Last Modified: June 16, 2026, 3:22 p.m.
Last Modified: June 16, 2026, 3:22 p.m.
Status : Deferred
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.