CVE-2023-53874

Dec. 18, 2025, 10:35 p.m.

6.7
Medium

Description

GOM Player 2.3.90.5360 contains a buffer overflow vulnerability in the equalizer preset name input field that allows attackers to crash the application. Attackers can overwrite the preset name with 260 'A' characters to trigger a buffer overflow and cause application instability.

Product(s) Impacted

Vendor Product Versions
Gomlab
  • Gom Player
  • 2.3.90.5360

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 gomlab gom_player 2.3.90.5360 / / / / / / /

References

https://www.exploit-db.com/exploits/51724
https://www.gomlab.com
https://www.vulncheck.com/advisories/gom-player-buffer-overflow-via-equalizer-preset-name
https://www.exploit-db.com/exploits/51724

Tags

disclosure@vulncheck.com
2025-12-15
CVE-2023-53874

CVSS Score

6.7 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: ACTIVE
  • 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:A/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: Dec. 15, 2025, 9:15 p.m.
Last Modified: Dec. 18, 2025, 10:35 p.m.

Status : Analyzed

CVE has had analysis completed and all data associations made.

More info

Source

disclosure@vulncheck.com

*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.