CVE-2025-6899

June 30, 2025, 6:38 p.m.

5.3
Medium

Description

A vulnerability, which was classified as critical, was found in D-Link DI-7300G+ and DI-8200G 17.12.20A1/19.12.25A1. This affects an unknown part of the file msp_info.htm. The manipulation of the argument flag/cmd/iface leads to os command injection. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used.

Product(s) Impacted

Vendor Product Versions
D-link
  • Di-7300g+
  • Di-8200g
  • 17.12.20A1
  • 19.12.25A1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-77
Improper Neutralization of Special Elements used in a Command ('Command Injection')
The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component.

*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 d-link di-7300g+ 17.12.20A1 / / / / / / /
a d-link di-8200g 19.12.25A1 / / / / / / /

CVSS Score

5.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: LOW
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/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: June 30, 2025, 9:15 a.m.
Last Modified: June 30, 2025, 6:38 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.