CVE-2025-7949

July 22, 2025, 2:15 p.m.

5.1
Medium

Description

A vulnerability was found in Sanluan PublicCMS up to 5.202506.a. It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the file publiccms-parent/publiccms/src/main/resources/templates/admin/cmsDiy/preview.html. The manipulation of the argument url leads to open redirect. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The patch is named c1e79f124e3f4c458315d908ed7dee06f9f12a76/f1af17af004ca9345c6fe4d5936d87d008d26e75. It is recommended to apply a patch to fix this issue.

Product(s) Impacted

Vendor Product Versions
Sanluan
  • Publiccms
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-601
URL Redirection to Untrusted Site ('Open Redirect')
A web application accepts a user-controlled input that specifies a link to an external site, and uses that link in a Redirect. This simplifies phishing attacks.

*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 / / / / / / / /

CVSS Score

5.1 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: PASSIVE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: LOW
  • Availability Impact: NONE
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:L/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: July 22, 2025, 2:15 a.m.
Last Modified: July 22, 2025, 2:15 p.m.

Status : Awaiting Analysis

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.