CVE-2026-5737

May 28, 2026, 1:45 p.m.

6.5
Medium

Description

The Independent Analytics plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 2.14.9. This is due to a public tracking route at /wp-json/iawp/search that accepts attacker-controlled referrer_url values when the signature matches, combined with a scheduled favicon fetcher that performs unrestricted cURL requests to stored domains. The signature validation is insufficient because the signature is embedded in publicly-accessible JavaScript and the salt is static per site, allowing attackers to extract valid signatures. The favicon downloader uses raw cURL functions without any SSRF protection mechanisms (no localhost blocking, no private network filtering, and does not use WordPress's wp_safe_remote_* functions). This makes it possible for unauthenticated attackers to inject malicious referrer domains into the database and trigger server-side requests to arbitrary hosts including internal services.

Product(s) Impacted

Vendor Product Versions
Independent Analytics
  • Independent Analytics Plugin
  • <2.14.9

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.

CVSS Score

6.5 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: May 28, 2026, 5:16 a.m.
Last Modified: May 28, 2026, 1:45 p.m.

Status : Deferred

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.