CVE-2018-25242

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

6.9
Medium

Description

One Search 1.1.0.0 contains a denial of service vulnerability that allows local attackers to crash the application by submitting excessively long input strings to the search functionality. Attackers can paste a buffer of 950 or more characters into the search bar to trigger an unhandled exception that crashes the application.

Product(s) Impacted

Vendor Product Versions
Microsoft
  • One Search
  • 1.1.0.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-1389
Incorrect Parsing of Numbers with Different Radices
The product parses numeric input assuming base 10 (decimal) values, but it does not account for inputs that use a different base number (radix).

*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 one_search 1.1.0.0 / / / / / / /

References

https://www.exploit-db.com/exploits/46195
https://www.microsoft.com/store/productId/9PMR5QNS5LTL
https://www.vulncheck.com/advisories/one-search-denial-of-service

Tags

[email protected]
CWE-1389
2026-04-04
CVE-2018-25242

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.