CVE-2026-46698
June 11, 2026, 8:59 p.m.
5.3
Medium
Description
Fediverse Embeds embeds fediverse posts on WordPress sites. Prior to version 1.5.9, Fediverse Embeds registered the unauthenticated AJAX action wp_ajax_nopriv_ftf_get_site_info (includes/Site_Info.php) that verified a nonce ftf-fediverse-embeds-nonce and then called file_get_html($site_url) on the attacker-supplied URL. The same nonce was enqueued onto every public page containing a fediverse embed (via includes/Enqueue_Assets.php lines 41-46 + includes/Helpers.php lines 64-83), so the nonce gate was not an authentication boundary; any visitor of a public post with an embed could grab it and reuse it. This issue has been patched in version 1.5.9.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Wordpress |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-918
Server-Side Request Forgery (SSRF)
The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.
*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 | fediverse_embeds | <1.5.9 | / | / | / | / | / | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: LOW
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Timeline
Published: June 11, 2026, 6:16 p.m.
Last Modified: June 11, 2026, 8:59 p.m.
Last Modified: June 11, 2026, 8:59 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.