Bosch Infotainment system ECU 283C30861E on Nissan Anti-Theft Protection predictable algorithm in random number generator
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.2 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Bosch Infotainment system ECU 283C30861E on Nissan. It has been classified as problematic. This affects an unknown part of the component Anti-Theft Protection. Performing a manipulation results in use of predictable algorithm in random number generator. This vulnerability was named CVE-2025-32056. The attack may be carried out on the physical device. There is no available exploit.
Details
A vulnerability classified as problematic has been found in Bosch Infotainment system ECU 283C30861E on Nissan. This affects an unknown code block of the component Anti-Theft Protection. The manipulation with an unknown input leads to a use of predictable algorithm in random number generator vulnerability. CWE is classifying the issue as CWE-1241. The device uses an algorithm that is predictable and generates a pseudo-random number. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
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.
The weakness was presented with PCA Cyber Security Assessment Team. The advisory is shared at nissan.co.uk. This vulnerability is uniquely identified as CVE-2025-32056 since 04/03/2025. The exploitability is told to be easy. An attack has to be approached locally. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.2VulDB Meta Temp Score: 4.2
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 4.0
CNA Vector (ASRG): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Use of predictable algorithm in random number generatorCWE: CWE-1241 / CWE-338 / CWE-331
CAPEC: 🔒
ATT&CK: 🔒
Physical: Yes
Local: Yes
Remote: No
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
04/03/2025 CVE reserved01/22/2026 Advisory disclosed
01/22/2026 VulDB entry created
01/22/2026 VulDB entry last update
Sources
Advisory: nissan.co.ukOrganization: PCA Cyber Security Assessment Team
Status: Not defined
CVE: CVE-2025-32056 (🔒)
GCVE (CVE): GCVE-0-2025-32056
GCVE (VulDB): GCVE-100-342333
Entry
Created: 01/22/2026 17:05Changes: 01/22/2026 17:05 (63)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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