CVE-2018-25131

Dec. 24, 2025, 9:15 p.m.

5.1
Medium

Description

Leica Geosystems GR10/GR25/GR30/GR50 GNSS 4.30.063 contains a stored cross-site scripting vulnerability in the configuration file upload functionality. Attackers can upload a malicious HTML file to that executes arbitrary JavaScript in a user's browser session when viewed.

Product(s) Impacted

Vendor Product Versions
Leica Geosystems
  • Gr10 Gnss
  • Gr25 Gnss
  • Gr30 Gnss
  • Gr50 Gnss
  • 4.30.063
  • 4.30.063
  • 4.30.063
  • 4.30.063

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 leica_geosystems gr10_gnss 4.30.063 / / / / / / /
a leica_geosystems gr25_gnss 4.30.063 / / / / / / /
a leica_geosystems gr30_gnss 4.30.063 / / / / / / /
a leica_geosystems gr50_gnss 4.30.063 / / / / / / /

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: LOW
  • Integrity Impact: LOW
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:L/VI:L/VA:N/SC:L/SI:L/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: Dec. 24, 2025, 8:15 p.m.
Last Modified: Dec. 24, 2025, 9:15 p.m.

Status : Received

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

More info

Source

disclosure@vulncheck.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.