CVE-2025-15371

Dec. 31, 2025, 8:42 p.m.

8.5
High

Description

A vulnerability has been found in Tenda i24, 4G03 Pro, 4G05, 4G08, G0-8G-PoE, Nova MW5G and TEG5328F up to 65.10.15.6. Affected is an unknown function of the component Shadow File. Such manipulation with the input Fireitup leads to hard-coded credentials. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.

Product(s) Impacted

Vendor Product Versions
Tenda
  • I24
  • 4g03 Pro
  • 4g05
  • 4g08
  • G0-8g-poe
  • Nova Mw5g
  • Teg5328f
  • *
  • *
  • *
  • *
  • *
  • *
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-259
Use of Hard-coded Password
The product contains a hard-coded password, which it uses for its own inbound authentication or for outbound communication to external components.

*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 tenda i24 / / / / / / / /
a tenda 4g03_pro / / / / / / / /
a tenda 4g05 / / / / / / / /
a tenda 4g08 / / / / / / / /
a tenda g0-8g-poe / / / / / / / /
a tenda nova_mw5g / / / / / / / /
a tenda teg5328f / / / / / / / /

CVSS Score

8.5 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/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. 31, 2025, 1:15 a.m.
Last Modified: Dec. 31, 2025, 8:42 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

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.