CVE-2025-34251

Oct. 8, 2025, 7:38 p.m.

8.6
High

Description

Tesla Telematics Control Unit (TCU) firmware prior to v2025.14 contains an authentication bypass vulnerability. The TCU runs the Android Debug Bridge (adbd) as root and, despite a “lockdown” check that disables adb shell, still permits adb push/pull and adb forward. Because adbd is privileged and the device’s USB port is exposed externally, an attacker with physical access can write an arbitrary file to a writable location and then overwrite the kernel’s uevent_helper or /proc/sys/kernel/hotplug entries via ADB, causing the script to be executed with root privileges.

Product(s) Impacted

Vendor Product Versions
Tesla
  • Telematics Control Unit
  • <2025.14

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-269
Improper Privilege Management
The product does not properly assign, modify, track, or check privileges for an actor, creating an unintended sphere of control for that actor.

*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 tesla telematics_control_unit <2025.14 / / / / / / /

CVSS Score

8.6 / 10

CVSS Data - 4.0

  • Attack Vector: PHYSICAL
  • 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:P/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: Oct. 7, 2025, 12:15 a.m.
Last Modified: Oct. 8, 2025, 7:38 p.m.

Status : Awaiting Analysis

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

More info

Source

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.