Comparison Overview
Porsche Japan

Porsche Japan
港区, JP
Last Update: 22/03/2026
「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...

BMW Group
Petuelring 130, Munich, 80788, DE
Last Update: 01/04/2026
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...
Compliance Ranges Comparison

Porsche Japan







BMW Group






Benchmark & Cyber Underwriting Signals
Incidents vs Motor Vehicle Manufacturing Industry Avg (This Year)
No incidents recorded for Porsche Japan in 2026.
Incidents vs Motor Vehicle Manufacturing Industry Avg (This Year)
No incidents recorded for BMW Group in 2026.
Incident History - Porsche Japan (X = Date, Y = Severity)
Porsche Japan cyber incidents detection timeline including parent company and subsidiaries.
Incident History - BMW Group (X = Date, Y = Severity)
BMW Group cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Porsche Japan

BMW Group
FAQ
Latest Global CVEs
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.
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.
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.
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.
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.