CVE-2024-13682

March 4, 2025, 8:53 p.m.

4.3
Medium

Description

The Wallet System for WooCommerce – Wallet, Wallet Cashback, Refunds, Partial Payment, Wallet Restriction plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 2.6.2. This is due to missing or incorrect nonce validation in class-wallet-user-table.php. This makes it possible for unauthenticated attackers to modify wallet balances 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
Wpswings
  • Wallet System For Woocommerce
  • *

Weaknesses

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)

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a wpswings wallet_system_for_woocommerce / / / / / wordpress / /

References

https://plugins.trac.wordpress.org/changeset?sfp_email=&sfph_mail=&reponame=&new=3244479%40wallet-system-for-woocommerce%2Ftrunk&old=3231275%40wallet-system-for-woocommerce%2Ftrunk&sfp_email=&sfph_mail=
https://www.wordfence.com/threat-intel/vulnerabilities/id/779a9f7a-4582-4d5e-bd9a-9ff7f14b452a?source=cve

Tags

security@wordfence.com
CWE-352
2025-03-04
CVE-2024-13682

CVSS Score

4.3 / 10

CVSS Data

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: LOW
  • Availability Impact: NONE
    • View Vector String

    CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N

Date

  • Published: March 4, 2025, 9:15 a.m.
  • Last Modified: March 4, 2025, 8:53 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.