CVE-2018-25423

May 30, 2026, 4:17 p.m.

6.9
Medium

Description

Arm Whois 3.11 contains a buffer overflow vulnerability that allows local attackers to crash the application by supplying an oversized input string. Attackers can paste a malicious buffer of 700 bytes into the IP address or domain input field to trigger a denial of service condition.

Product(s) Impacted

Vendor Product Versions
Arm
  • Whois
  • 3.11

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-120
Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')
The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow.

*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 arm whois 3.11 / / / / / / /

References

http://www.armcode.com/
http://www.armcode.com/downloads/arm-whois.exe
https://www.exploit-db.com/exploits/45762
https://www.vulncheck.com/advisories/arm-whois-denial-of-service-via-buffer-overflow

Tags

CWE-120
[email protected]
2026-05-30
CVE-2018-25423

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: May 30, 2026, 4:17 p.m.
Last Modified: May 30, 2026, 4:17 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.