Comparison Overview
Wide Bay Hospital and Health Service

Wide Bay Hospital and Health Service
271 Bourbong St, Bundaberg, Queensland, 4670, AU
Last Update: 05/12/2025
Wide Bay Hospital and Health Service provides health services to a fast growing regional area. The Service covers the coastal stretch from Agnes Waters in the north to Hervey Bay in the South and includes the accompanying rural hinterland. Included in the WBHHS are th...

Trinity Health
20555 Victor Parkway, Livonia, MI, US, 48152
Last Update: 04/04/2026
Trinity Health is one of the largest not-for-profit, Catholic health care systems in the nation. It is a family of 123,000 colleagues and nearly 27,000 physicians and clinicians caring for diverse communities across 26 states. Nationally recognized for care and experien...
Compliance Ranges Comparison

Wide Bay Hospital and Health Service







Trinity Health






Benchmark & Cyber Underwriting Signals
Incidents vs Hospitals and Health Care Industry Avg (This Year)
No incidents recorded for Wide Bay Hospital and Health Service in 2026.
Incidents vs Hospitals and Health Care Industry Avg (This Year)
Trinity Health has 3.85% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - Wide Bay Hospital and Health Service (X = Date, Y = Severity)
Wide Bay Hospital and Health Service cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Trinity Health (X = Date, Y = Severity)
Trinity Health cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Wide Bay Hospital and Health Service

Trinity 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.