CVE-2026-5667

June 17, 2026, 4:21 p.m.

7.2
High

Description

Use of Hard-coded Credentials vulnerability in Mitsubishi Electric Room Air Conditioners (for Japan and outside Japan); Wireless LAN Adapters for Room Air Conditioners (for Japan and outside Japan); Wireless LAN Adapters for Packaged Air Conditioners (for Japan and outside Japan); Refrigerators (for Japan); Heat Pump Water Heaters / HEMS-Compatible Adapters / Wireless LAN Adapters (for Japan); Bathroom Dryer / Heater / Ventilation Systems (for Japan); Adapters for Airflow Ventilation Systems, Heat Pump Chilled / Hot Water Systems, and Ventilation / Air-Conditioning System Air Resorts (for Japan); Lossnay Central Ventilation Systems (for Japan); Smart Switches for Ventilation Fans and Lossnay (for Japan); IH Cooking Heaters (for Japan); and Rice Cookers (for Japan) allows an attacker within Wi-Fi radio range of an affected product to access the affected product using a hard-coded SSID and password, thereby obtaining device data such as operation status, room set temperature, and room temperature; changing the air-conditioner or Wi-Fi settings; or causing Wi-Fi communication to enter a denial-of-service (DoS) condition.

Product(s) Impacted

Vendor Product Versions
Mitsubishi Electric
  • Room Air Conditioner
  • Wlan Adapter Room Air Conditioner
  • Wlan Adapter Packaged Air Conditioner
  • Refrigerator
  • Heat Pump Water Heater
  • Hems Compatible Adapter
  • Wlan Adapter Heat Pump Water Heater
  • Bathroom Dryer Heater Ventilation Systems
  • Adapter Airflow Ventilation Systems
  • Heat Pump Chilled Hot Water Systems
  • Ventilation Air Conditioning Systems
  • Lossnay Central Ventilation Systems
  • Smart Switch Ventilation
  • Ih Cooking Heater
  • Rice Cooker
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Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-798
Use of Hard-coded Credentials
The product contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data.

*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 mitsubishi_electric room_air_conditioner / / / / / / / /
a mitsubishi_electric wlan_adapter_room_air_conditioner / / / / / / / /
a mitsubishi_electric wlan_adapter_packaged_air_conditioner / / / / / / / /
a mitsubishi_electric refrigerator / / / / / / / /
a mitsubishi_electric heat_pump_water_heater / / / / / / / /
a mitsubishi_electric hems_compatible_adapter / / / / / / / /
a mitsubishi_electric wlan_adapter_heat_pump_water_heater / / / / / / / /
a mitsubishi_electric bathroom_dryer_heater_ventilation_systems / / / / / / / /
a mitsubishi_electric adapter_airflow_ventilation_systems / / / / / / / /
a mitsubishi_electric heat_pump_chilled_hot_water_systems / / / / / / / /
a mitsubishi_electric ventilation_air_conditioning_systems / / / / / / / /
a mitsubishi_electric lossnay_central_ventilation_systems / / / / / / / /
a mitsubishi_electric smart_switch_ventilation / / / / / / / /
a mitsubishi_electric ih_cooking_heater / / / / / / / /
a mitsubishi_electric rice_cooker / / / / / / / /

CVSS Score

7.2 / 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: LOW
  • Availability Impact: LOW
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:N/VC:H/VI:L/VA:L/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: June 17, 2026, 1:20 p.m.
Last Modified: June 17, 2026, 4:21 p.m.

Status : Deferred

When a CVE is given this status the NVD does not plan analyze or re-analyze this CVE due to resource or other concerns.

More info

*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.