Mazda Model 2015/2016 improper authentication

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
7.6$25k-$100k0.00

Summaryinfo

A vulnerability marked as very critical has been reported in Mazda Model 2015/2016. Impacted is an unknown function. Performing a manipulation results in improper authentication. This vulnerability is identified as CVE-2023-32219. The attack can only be performed from the local network. There is not any exploit available.

Detailsinfo

A vulnerability classified as very critical has been found in Mazda Model 2015/2016. This affects an unknown code. The manipulation with an unknown input leads to a improper authentication vulnerability. CWE is classifying the issue as CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

A Mazda model (2015-2016) can be unlocked via an unspecified method.

The weakness was released 06/13/2023. It is possible to read the advisory at gov.il. This vulnerability is uniquely identified as CVE-2023-32219 since 05/04/2023. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $25k-$100k at the moment (estimation calculated on 12/30/2025).

We expect the 0-day to have been worth approximately $25k-$100k.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2023-36477). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.6

VulDB Base Score: 8.8
VulDB Temp Score: 8.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CNA Base Score: 6.5
CNA Vector (Israel National Cyber Directorate): 🔍

CVSSv2info

AVACAuCIA
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💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Improper authentication
CWE: CWE-287
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

05/04/2023 🔍
06/13/2023 +40 days 🔍
06/13/2023 +0 days 🔍
12/30/2025 +931 days 🔍

Sourcesinfo

Advisory: gov.il
Status: Not defined

CVE: CVE-2023-32219 (🔍)
GCVE (CVE): GCVE-0-2023-32219
GCVE (VulDB): GCVE-100-231291
EUVD: 🔍

Entryinfo

Created: 06/13/2023 08:02
Updated: 12/30/2025 08:58
Changes: 06/13/2023 08:02 (47), 01/06/2025 18:31 (36), 12/30/2025 08:58 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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