CVE-2026-11989

June 19, 2026, 6:17 a.m.

6.5
Medium

Description

The Bit integrations – Form Integration, Webhook, Spreadsheets, CRM, LMS & Email Automation plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 2.8.7 via the upload_attachment. This makes it possible for unauthenticated attackers to make web requests to arbitrary locations originating from the web application and can be used to query and modify information from internal services. Exploitation requires a form integration to be configured with a field mapped to a WooCommerce product image, product gallery, downloadable files, or Google Contacts attachment field, which is a default use case for these integrations.

Product(s) Impacted

Vendor Product Versions
Wordpress
  • Plugin
  • *
Bit
  • Bit Integrations
  • <=2.8.7

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 plugin / / / / / wordpress / /
a bit bit_integrations <=2.8.7 / / / / wordpress / /

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: June 19, 2026, 6:17 a.m.
Last Modified: June 19, 2026, 6:17 a.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.