CVE-2024-8319

Sept. 3, 2024, 2:43 p.m.

4.3
Medium

Description

The Tourfic plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 2.11.20. This is due to missing or incorrect nonce validation on the tf_order_status_email_resend_function, tf_visitor_details_edit_function, tf_checkinout_details_edit_function, tf_order_status_edit_function, tf_order_bulk_action_edit_function, tf_remove_room_order_ids, and tf_delete_old_review_fields functions. This makes it possible for unauthenticated attackers to resend order status emails, update visitor/order details, edit check-in/out details, edit order status, perform bulk order status updates, remove room order IDs, and delete old review fields, respectively, via a forged request granted they can trick a site administrator into performing an action such as clicking on a link.

Product(s) Impacted

Vendor Product Versions
Themeific
  • Tourfic
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-352
Cross-Site Request Forgery (CSRF)
The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request.

*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 themeific tourfic / / / / / wordpress / /

CVSS Score

4.3 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Aug. 30, 2024, 8:15 a.m.
Last Modified: Sept. 3, 2024, 2:43 p.m.

Status : Analyzed

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

More info

Source

security@wordfence.com

*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.