CVE-2018-25273

April 27, 2026, 6:55 p.m.

6.9
Medium

Description

CrossFont 7.5 contains a buffer overflow vulnerability that allows local attackers to crash the application by submitting an oversized payload in the License Key field. Attackers can generate a malicious file containing 4000 bytes of data, paste it into the License Key input field, and trigger an application crash when processing the input.

Product(s) Impacted

Vendor Product Versions
Crossfont
  • Crossfont
  • 7.5

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 crossfont crossfont 7.5 / / / / / / /

References

https://www.exploit-db.com/exploits/45494
https://www.vulncheck.com/advisories/crossfont-denial-of-service-via-license-key-field

Tags

CWE-120
[email protected]
2026-04-26
CVE-2018-25273

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 26, 2026, 10:17 p.m.
Last Modified: April 27, 2026, 6:55 p.m.

Status : Deferred

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.