The anti-theft protection mechanism can be bypassed by attackers due to weak response generation algorithms for the head unit. It is possible to reveal all 32 corresponding responses by sniffing CAN traffic or by pre-calculating the values, which allow to bypass the protection.
First identified on Nissan Leaf ZE1 manufactured in 2020.
This issue can be reached with physical access to the device, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. The scope is changed, meaning a successful attack can affect components beyond the vulnerable one. Rated impact: confidentiality low, integrity low, availability none.
The score comes from this vector: CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:N
CVE-2025-32056 is classified as CWE-1241: Use of Predictable Algorithm in Random Number Generator. The device uses an algorithm that is predictable and generates a pseudo-random number.
CVE-2025-32056 is recorded against 1 package.
Published on 22 January 2026 and last revised on 17 June 2026. No public exploit is currently recorded for this entry. Record sourced from NVD.
i.blackhat.com
pcacybersecurity.com
www.nissan.co.uk
unknown has other advisories on record. If you are patching this one, these are worth checking on the same host:
These advisories are the same class of weakness (CWE-1241: Use of Predictable Algorithm in Random Number Generator) in other software:
Details
CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:N
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| unknown | — | — |
References
Similar Threats
Vulnerability Monitoring
CVE-2025-32056 is rated CVSS 4.0 Medium. BotEraser monitors your WordPress installation and notifies you when software you use appears in our vulnerability database.
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