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Comparison Overview

Porsche JapanPorsche Japan
VS
BMW GroupBMW Group
Porsche Japan

Porsche Japan

港区, JP

Last Update: 22/03/2026

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「私は自らが理想とする車を探したが、どこにも見つからなかった。だから自分で造ることにした。」 ポルシェAGの創始者フェルディナンド・ポルシェの長男であるフェリー・ポルシェが残したこの言葉から、夢への熱烈な信念はポルシェのミッションとなっています。 ポルシェジャパンは、ポルシェ本社100%出資の子会社として1995年に設立しました。911をアイコンにモデルレンジを拡充しながら、2021年10月に、千葉県木更津市へ世界で9箇所目となるポルシェのブランド体験施設として開設した「ポルシェ・エクスペリエンスセンター東京」は、様々な方がポルシェ...

NAICS:3361
NAICS Definition:Motor Vehicle Manufacturing
Employees:72
Subsidiaries:0
12-month incidents
0
Known data breaches
0
Attack type number
1
BMW Group

BMW Group

Petuelring 130, Munich, 80788, DE

Last Update: 01/04/2026

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740/1000Moderate

With its four brands BMW, MINI, Rolls-Royce and BMW Motorrad, the BMW Group is the world’s leading premium manufacturer of automobiles and motorcycles and also provides premium financial services. The BMW Group production network comprises over 30 production sites world...

NAICS:3361
NAICS Definition:Motor Vehicle Manufacturing
Employees:63,720
Subsidiaries:69
12-month incidents
0
Known data breaches
1
Attack type number
2

Compliance Ranges Comparison

Based On Specific Ai Models Category
Porsche Japan

Porsche Japan

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA
BMW Group

BMW Group

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA

Benchmark & Cyber Underwriting Signals

Incidents vs Motor Vehicle Manufacturing Industry Avg (This Year)

No incidents recorded for Porsche Japan in 2026.

Incidents

Incidents vs Motor Vehicle Manufacturing Industry Avg (This Year)

No incidents recorded for BMW Group in 2026.

Incidents

Incident History - Porsche Japan (X = Date, Y = Severity)

Porsche Japan cyber incidents detection timeline including parent company and subsidiaries.

R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Incident History - BMW Group (X = Date, Y = Severity)

BMW Group cyber incidents detection timeline including parent company and subsidiaries.

R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Notable Incidents

Last Cyber / HR Incidents / Global...
Porsche Japan

Porsche Japan

Incidents
🔒 Incident : Data Leak
POR15136622
BMW Group

BMW Group

Incidents
🔒 Incident : Ransomware
BMW0091600100325
🔒 Incident : Breach
BMW181781023

FAQ

Between Porsche Japan company and BMW Group company, which one has the best AI Cybersecurity Score ?
Between Porsche Japan company and BMW Group company, which one has experienced more cyber incidents in the past ?
Between Porsche Japan company and BMW Group company, which one has experienced more cyber incidents this year ?
Between Porsche Japan company and BMW Group company, which one has experienced at least one ransomware attack ?
Between Porsche Japan company and BMW Group company, which one has experienced at least one data breach ?
Between Porsche Japan company and BMW Group company, which one has experienced at least one targeted cyberattack ?
Between Porsche Japan company and BMW Group company, which one has experienced at least one vulnerability ?
Between Porsche Japan company and BMW Group company, which one holds the most compliance certifications ?
Between Porsche Japan company and BMW Group company, which one holds the fewest compliance certifications ?
Between Porsche Japan company and BMW Group company, which one has the most subsidiaries ?
Between Porsche Japan company and BMW Group company, which one has the largest number of employees ?
Between Porsche Japan and BMW Group, which company holds both SOC 2 Type 1 certifications ?
Between Porsche Japan and BMW Group, which company holds both SOC 2 Type 2 certifications ?
Which company is ISO 27001 certified - Porsche Japan or BMW Group ?
Which company is PCI DSS compliant - Porsche Japan or BMW Group ?
Between Porsche Japan and BMW Group, which company complies with HIPAA regulations for healthcare data ?
Between Porsche Japan and BMW Group, which company complies with GDPR requirements ?

Latest Global CVEs

CVE-2026-63261
SUMMARY

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8
CVE-2026-63260
SUMMARY

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated attacker with low-privilege access can trigger a denial of service condition in Kibana by sending a specially crafted, oversized request payload. Processing this user-supplied input requires resource-intensive memory allocation that can exhaust the available heap memory in the Kibana process, causing it to crash and become unavailable to all users.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8
CVE-2026-63259
SUMMARY

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 4.3)
CVSS3
Base Score: 4.3
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.8
CVE-2026-63145
SUMMARY

Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 4.3)
CVSS3
Base Score: 4.3
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.8
CVE-2026-63144
SUMMARY

Uncontrolled Recursion (CWE-674) in Elasticsearch can lead to denial of service via a specially crafted search request submitted by a low-privileged authenticated user. A user with read-level index access can submit a request that triggers unbounded recursive processing within the Elasticsearch query evaluation component, causing a fatal error that terminates the affected node. In single-node deployments, this results in complete service outage; in multi-node clusters, it causes repeated node restarts and sustained availability degradation.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8