CVE-2026-46697

June 11, 2026, 6:16 p.m.

7.5
High

Description

Fediverse Embeds embeds fediverse posts on WordPress sites. Prior to version 1.5.8, Fediverse Embeds registered an unauthenticated REST route ftf/media-proxy (includes/Media_Proxy.php) with permission_callback => __return_true that accepted a base64-encoded URL and forwarded it to wp_remote_get($url) without enforcing any allowlist. The plugin's source contained a comment block explicitly acknowledging that the request should be validated against allowed fediverse domains, but in 1.5.7 the validation only set a local $can_download_media flag that was never read. The full response body was echoed back to the caller, so this was a full-read SSRF / open proxy reachable by any anonymous visitor. This issue has been patched in version 1.5.8.

Product(s) Impacted

Vendor Product Versions
Fediverse Embeds
  • Fediverse Embeds
  • <1.5.8

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 fediverse_embeds fediverse_embeds <1.5.8 / / / / / / /

CVSS Score

7.5 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

    View Vector String

Timeline

Published: June 11, 2026, 6:16 p.m.
Last Modified: June 11, 2026, 6:16 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*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.