| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in Skoda Connect. The impacted element is an unknown function of the component VIN Number Handler. This manipulation causes information disclosure. This vulnerability is tracked as CVE-2023-28901. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in Skoda Connect (version now known). It has been declared as critical. Affected by this vulnerability is some unknown processing of the component VIN Number Handler. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:
The Skoda Automotive cloud contains a Broken Access Control vulnerability, allowing remote attackers to obtain recent trip data, vehicle mileage, fuel consumption, average and maximum speed, and other information of Skoda Connect service users by specifying an arbitrary vehicle VIN number.
The weakness was disclosed 01/18/2024 by Anna Breeva. It is possible to read the advisory at asrg.io. This vulnerability is known as CVE-2023-28901 since 03/27/2023. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 5.3
CNA Vector (Automotive Security Research Group (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: Information disclosureCWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
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
03/27/2023 🔍01/18/2024 🔍
01/18/2024 🔍
02/12/2024 🔍
Sources
Advisory: asrg.ioResearcher: Anna Breeva
Status: Not defined
CVE: CVE-2023-28901 (🔍)
GCVE (CVE): GCVE-0-2023-28901
GCVE (VulDB): GCVE-100-251467
Entry
Created: 01/18/2024 18:01Updated: 02/12/2024 11:45
Changes: 01/18/2024 18:01 (47), 02/12/2024 11:45 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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