CVE-2026-11462

June 8, 2026, 2:57 p.m.

5.5
Medium

Description

A vulnerability was found in Chengdu Everbrite Network Technology BeikeShop up to 1.6.0.22. This impacts the function callback of the file plugins/Stripe/Controllers/StripeController.php of the component Stripe Plugin. Performing a manipulation of the argument Request results in improper authorization. The attack can be initiated remotely. The exploit has been made public and could be used. The patch is named 6719e0fc690ea0a998452092862e0f0a17c65968. It is suggested to install a patch to address this issue.

Product(s) Impacted

Vendor Product Versions
Chengdu Everbrite Network Technology
  • Beikeshop
  • Stripe Plugin
  • <=1.6.0.22
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-266
Incorrect Privilege Assignment
A product incorrectly assigns a privilege to a particular actor, creating an unintended sphere of control for that actor.

*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 chengdu_everbrite_network_technology beikeshop <=1.6.0.22 / / / / / / /
a chengdu_everbrite_network_technology stripe_plugin / / / / / / / /

CVSS Score

5.5 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: LOW
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: June 7, 2026, 11:16 p.m.
Last Modified: June 8, 2026, 2:57 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.