CVE-2025-40772

Oct. 14, 2025, 7:36 p.m.

7.0
Medium

Description

A vulnerability has been identified in SiPass integrated (All versions < V3.0). Affected server applications are vulnerable to stored Cross-Site Scripting (XSS), allowing an attacker to inject malicious code that can be executed by other users when they visit the affected page. Successful exploitation allows an attacker to impersonate other users within the application and steal their session data. This could enable unauthorized access to accounts and potentially lead to privilege escalation.

Product(s) Impacted

Vendor Product Versions
Siemens
  • Sipass Integrated
  • <3.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.

*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 siemens sipass_integrated <3.0 / / / / / / /

CVSS Score

7.0 / 10

CVSS Data - 4.0

  • Attack Vector: ADJACENT
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: ACTIVE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:A/AC:L/AT:N/PR:L/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/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: Oct. 14, 2025, 10:15 a.m.
Last Modified: Oct. 14, 2025, 7:36 p.m.

Status : Awaiting Analysis

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

More info

Source

productcert@siemens.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.