CVE-2024-6032

April 30, 2025, 8:15 p.m.

7.8
High

Description

Tesla Model S Iris Modem ql_atfwd Command Injection Code Execution Vulnerability. This vulnerability allows local attackers to execute arbitrary code on affected Tesla Model S vehicles. An attacker must first obtain the ability to execute code on the target system in order to exploit this vulnerability. The specific flaw exists within the ql_atfwd process. The issue results from the lack of proper validation of a user-supplied string before using it to execute a system call. An attacker can leverage this vulnerability to execute code on the target modem in the context of root. Was ZDI-CAN-23201.

Product(s) Impacted

Vendor Product Versions
Tesla
  • Model S
  • *

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
a tesla model_s / / / / / / / /

CVSS Score

7.8 / 10

CVSS Data - 3.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: April 30, 2025, 8:15 p.m.
Last Modified: April 30, 2025, 8:15 p.m.

Status : Received

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.