Comparison Overview
Mission Motorsport - The Forces' Motorsport Charity

Mission Motorsport - The Forces' Motorsport Charity
Unit 11, Wantage, Oxfordshire, OX12 9TF, GB
Last Update: 04/01/2026
Mission Motorsport - The Forces' Motorsport Charity “The Aim of Mission Motorsport is to aid in the recovery and rehabilitation of those affected by military operations, by providing opportunities through Motorsport.” Providers of disabled and adaptive Motorsport to ...

Joyson Group
99, Qingyi Road, Ningbo, Zhejiang, CN, 315000
Last Update: 30/03/2026
Joyson Group is a young, ambitious high-tech company, its headquarter is located in Ningbo, China. With more than 100 bases in 30 countries, over 40000 employees globally. Founded in 2004, Joyson 's main products used to be automotive functional components. Since 201...
Compliance Ranges Comparison

Mission Motorsport - The Forces' Motorsport Charity







Joyson Group






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

Mission Motorsport - The Forces' Motorsport Charity

Joyson 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.