Comparison Overview
BJC Home Care

BJC Home Care
1935 Beltway Dr, St Louis, 63114, US
Last Update: 06/03/2026
BJC Home Care is the largest and most comprehensive home care provider in the St. Louis region, touching thousands of patients in more than 25 counties in Missouri and Illinois. Our team of physicians, nurses, pharmacists, therapists, volunteers and other health care ...

UnityPoint Health
1776 West Lakes Parkway,, West Des Moines, 50266, US
Last Update: 02/04/2026
As an integrated health system, we provide care throughout Iowa, western Illinois and southern Wisconsin in not-for-profit hospitals, clinics and home health settings. Each year, we serve nearly 8 million patient visits of all different types, including around 100,000 s...
Compliance Ranges Comparison

BJC Home Care







UnityPoint Health






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

BJC Home Care

UnityPoint 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.