Comparison Overview
McLaren Port Huron

McLaren Port Huron
1221 Pine Grove Avenue, Port Huron, 48060, US
Last Update: 05/02/2026
McLaren Port Huron is a 186-bed non-profit hospital located in Port Huron, Michigan, with a strong history of providing quality, compassionate care to residents living in St. Clair and Sanilac counties. It has earned repeated recognition for both clinical excellence and...

Queensland Health
33 Charlotte Street, Brisbane, 4000, AU
Last Update: 01/04/2026
Queensland Health is the state's largest healthcare provider. We are committed to ensuring all Queenslanders have access to a range of public healthcare services aimed at achieving good health and well-being. Through a network of 16 Hospital and Health Services, as wel...
Compliance Ranges Comparison

McLaren Port Huron







Queensland Health






Benchmark & Cyber Underwriting Signals
Incidents vs Hospitals and Health Care Industry Avg (This Year)
No incidents recorded for McLaren Port Huron in 2026.
Incidents vs Hospitals and Health Care Industry Avg (This Year)
No incidents recorded for Queensland Health in 2026.
Incident History - McLaren Port Huron (X = Date, Y = Severity)
McLaren Port Huron cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Queensland Health (X = Date, Y = Severity)
Queensland Health cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

McLaren Port Huron

Queensland Health
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.