CVE-2025-12919

Nov. 9, 2025, 8:15 p.m.

6.3
Medium

Description

A vulnerability was detected in EverShop up to 2.0.1. Affected is an unknown function of the file /src/modules/oms/graphql/types/Order/Order.resolvers.js of the component Order Handler. The manipulation of the argument uuid results in improper control of resource identifiers. The attack may be performed from remote. This attack is characterized by high complexity. The exploitability is told to be difficult. The exploit is now public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

Product(s) Impacted

Vendor Product Versions
Eshop
  • Ever Shop
  • 2.0.1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-99
Improper Control of Resource Identifiers ('Resource Injection')
The product receives input from an upstream component, but it does not restrict or incorrectly restricts the input before it is used as an identifier for a resource that may be outside the intended sphere of control.

*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 eshop ever_shop 2.0.1 / / / / / / /

CVSS Score

6.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/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: Nov. 9, 2025, 8:15 p.m.
Last Modified: Nov. 9, 2025, 8:15 p.m.

Status : Received

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

More info

Source

cna@vuldb.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.