CVE-2025-5825

June 26, 2025, 6:57 p.m.

7.5
High

Description

Autel MaxiCharger AC Wallbox Commercial Firmware Downgrade Remote Code Execution Vulnerability. This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of Autel MaxiCharger AC Wallbox Commercial charging stations. An attacker must first obtain the ability to pair a malicious Bluetooth device with the target system in order to exploit this vulnerability. The specific flaw exists within the firmware update process. The issue results from the lack of proper validation of a firmware image before using it to perform an upgrade. An attacker can leverage this in conjunction with other vulnerabilities to execute arbitrary code in the context of the device. Was ZDI-CAN-26354.

Product(s) Impacted

Vendor Product Versions
Autel
  • Maxicharger Ac Wallbox Commercial
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-1328
Security Version Number Mutable to Older Versions
Security-version number in hardware is mutable, resulting in the ability to downgrade (roll-back) the boot firmware to vulnerable code versions.

*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 autel maxicharger_ac_wallbox_commercial / / / / / / / /

CVSS Score

7.5 / 10

CVSS Data - 3.0

  • Attack Vector: ADJACENT_NETWORK
  • Attack Complexity: HIGH
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.0/AV:A/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: June 25, 2025, 6:15 p.m.
Last Modified: June 26, 2025, 6:57 p.m.

Status : Awaiting Analysis

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

More info

Source

zdi-disclosures@trendmicro.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.