CVE-2018-25214

March 27, 2026, 6:21 p.m.

6.9
Medium

Description

MegaPing contains a local buffer overflow vulnerability that allows local attackers to crash the application by supplying an oversized payload to the Destination Address List field in the Finger function. Attackers can paste a crafted buffer exceeding expected input limits into the vulnerable field and trigger the Start button to cause a denial of service crash.

Product(s) Impacted

Vendor Product Versions
Magnetosoft
  • Megaping
  • 1.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-787
Out-of-bounds Write
The product writes data past the end, or before the beginning, of the intended buffer.

*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 magnetosoft megaping 1.0 / / / / / / /

References

http://www.magnetosoft.com/
http://www.magnetosoft.com/downloads/win32/megaping_setup.exe
https://www.exploit-db.com/exploits/46004
https://www.vulncheck.com/advisories/megaping-local-buffer-overflow-denial-of-service

Tags

CWE-787
[email protected]
2026-03-26
CVE-2018-25214

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: March 26, 2026, 2:16 p.m.
Last Modified: March 27, 2026, 6:21 p.m.

Status : Analyzed

CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.

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.