CVE-2026-2010

Feb. 6, 2026, 3:14 p.m.

2.3
Low

Description

A vulnerability has been found in Sanluan PublicCMS up to 4.0.202506.d/5.202506.d/6.202506.d. Impacted is the function Paid of the file publiccms-parent/publiccms-trade/src/main/java/com/publiccms/logic/service/trade/TradePaymentService.java of the component Trade Payment Handler. The manipulation of the argument paymentId leads to improper authorization. The attack can be initiated remotely. The complexity of an attack is rather high. The exploitability is considered difficult. The exploit has been disclosed to the public and may be used. The identifier of the patch is 7329437e1288540336b1c66c114ed3363adcba02. It is recommended to apply a patch to fix this issue.

Product(s) Impacted

Vendor Product Versions
Sanluan
  • Publiccms
  • 4.0.202506.d

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 sanluan publiccms 4.0.202506.d / / / / / / /

CVSS Score

2.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: LOW
  • Availability Impact: LOW
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:H/AT:N/PR:L/UI:N/VC:N/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: Feb. 6, 2026, 8:15 a.m.
Last Modified: Feb. 6, 2026, 3:14 p.m.

Status : Awaiting Analysis

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.