CVE-2025-2082
April 30, 2025, 8:15 p.m.
7.5
High
Description
Tesla Model 3 VCSEC Integer Overflow Remote Code Execution Vulnerability. This vulnerability allows network-adjacent attackers to execute arbitrary code on affected Tesla Model 3 vehicles. Authentication is not required to exploit this vulnerability.
The specific flaw exists within the VCSEC module. By manipulating the certificate response sent from the Tire Pressure Monitoring System (TPMS), an attacker can trigger an integer overflow before writing to memory. An attacker can leverage this vulnerability to execute code in the context of the VCSEC module and send arbitrary messages to the vehicle CAN bus. Was ZDI-CAN-23800.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Tesla |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-190
Integer Overflow or Wraparound
The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control.
*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_3 | / | / | / | / | / | / | / | / |
Tags
CVSS Score
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
Timeline
Published: April 30, 2025, 8:15 p.m.
Last Modified: 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 infoSource
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.