Comparison Overview
Baptist Health Bethesda Hospital

Baptist Health Bethesda Hospital
1002 S. Old Dixie Hwy, Ste 103, Jupiter, Florida, US, 33458
Last Update: 14/01/2026
Founded in 1959, Bethesda Health, Inc., is a healthcare organization serving the medical needs of our community with a mission to provide quality health services in a caring manner. With two not-for-profit hospitals, 401-bed Bethesda Hospital East and 80-bed Bethesda Ho...

Sharp HealthCare
8695 Spectrum Center Blvd., San Diego, 92123, US
Last Update: 30/03/2026
Sharp HealthCare is a not-for-profit health care system based in San Diego, California, with four acute care hospitals, three specialty hospitals, three medical groups and a health plan. We provide medical services in virtually all fields of medicine, including primary ...
Compliance Ranges Comparison

Baptist Health Bethesda Hospital







Sharp HealthCare






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

Baptist Health Bethesda Hospital

Sharp HealthCare
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.