Comparison Overview
California Department of State Hospitals

California Department of State Hospitals
1600 9th Street , Sacramento , CA, US, 95814
Last Update: 01/04/2026
The California Department of State Hospitals (DSH) is the nation’s largest forensic mental health hospital system, operating five hospital facilities across California, as well as a centralized office in Sacramento. We provide treatment to a diverse population of patien...

Northwell Health
2000 Marcus Ave, Lake Success, NY, US, 11042
Last Update: 01/04/2026
Northwell Health is New York State’s largest health care provider and private employer, with 28 hospitals, about 1,000+ outpatient facilities and more than 16,000 affiliated physicians. At Northwell, we focus on cultivating an environment that inspires growth, empowers...
Compliance Ranges Comparison

California Department of State Hospitals







Northwell Health






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

California Department of State Hospitals

Northwell 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.