CVE-2025-14703

Dec. 23, 2025, 5:12 p.m.

5.5
Medium

Description

A vulnerability has been found in Shiguangwu sgwbox N3 2.0.25. The affected element is an unknown function of the file /fsnotify of the component POST Message Handler. The manipulation of the argument token leads to improper authentication. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

Product(s) Impacted

Vendor Product Versions
Sgwbox
  • N3 Nas
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-287
Improper Authentication
When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct.

*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 sgwbox n3_nas / / / / / / / /

References

https://vuldb.com/?ctiid.336420
https://vuldb.com/?id.336420
https://vuldb.com/?submit.706914
https://www.notion.so/sgwbox-NAS-N3-Auth-Bypass-2be6cf4e528a8092b261fbc2abc3430c?source=copy_link

Tags

cna@vuldb.com
2025-12-15
CVE-2025-14703

CVSS Score

5.5 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: PROOF_OF_CONCEPT

    • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:P/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, 4:15 a.m.
Last Modified: Dec. 23, 2025, 5:12 p.m.

Status : Analyzed

CVE has had analysis completed and all data associations made.

More info

Source

cna@vuldb.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.