CVE-2025-34148

Aug. 7, 2025, 9:26 p.m.

9.4
Critical

Description

An unauthenticated OS command injection vulnerability exists in the Shenzhen Aitemi M300 Wi-Fi Repeater (hardware model MT02). When configuring the device in WISP mode, the 'ssid' parameter is passed unsanitized to system-level scripts. This allows remote attackers within Wi-Fi range to inject arbitrary shell commands that execute as root, resulting in full device compromise.

Product(s) Impacted

Vendor Product Versions
Shenzhen
  • Aitemi M300 Wifi Repeater
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-78
Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS 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
h shenzhen aitemi_m300_wifi_repeater / / / / / / / /

CVSS Score

9.4 / 10

CVSS Data - 4.0

  • Attack Vector: ADJACENT
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/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: Aug. 7, 2025, 5:15 p.m.
Last Modified: Aug. 7, 2025, 9:26 p.m.

Status : Awaiting Analysis

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

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.