CVE-2018-25239

April 4, 2026, 8:16 p.m.

6.9
Medium

Description

Smart VPN 1.1.3.0 contains a denial of service vulnerability that allows local attackers to crash the application by submitting oversized input through the search interface. Attackers can paste a buffer of 2100 characters into the top right search bar to trigger an unhandled exception that crashes the application.

Product(s) Impacted

Vendor Product Versions
Microsoft
  • Smart Vpn
  • 1.1.3.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-470
Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection')
The product uses external input with reflection to select which classes or code to use, but it does not sufficiently prevent the input from selecting improper classes or code.

*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 microsoft smart_vpn 1.1.3.0 / / / / / / /

References

https://www.exploit-db.com/exploits/46272
https://www.microsoft.com/store/productId/9NH1G93D4HKR
https://www.vulncheck.com/advisories/smart-vpn-denial-of-service-via-search

Tags

[email protected]
CWE-470
2026-04-04
CVE-2018-25239

CVSS Score

6.9 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED

    • CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/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: April 4, 2026, 2:16 p.m.
Last Modified: April 4, 2026, 8:16 p.m.

Status : Received

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

More info

Source

[email protected]

*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.