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Comparison Overview

Confluence HealthConfluence Health
VS
University of Maryland Medical SystemUniversity of Maryland Medical System
Confluence Health

Confluence Health

820 N Chelan Ave., Wenatchee, 98801, US

Last Update: 02/04/2026

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726/1000Moderate

About Us Confluence Health is an integrated, rural healthcare delivery system with two hospitals, multi-specialty care in more than 30 service lines and primary care in 12 communities across North Central Washington. Our 300+ physicians and 175+ advanced practice clinic...

NAICS:62
NAICS Definition:Health Care and Social Assistance
Employees:2,157
Subsidiaries:0
12-month incidents
0
Known data breaches
0
Attack type number
2
University of Maryland Medical System

University of Maryland Medical System

22 S. Greene St, Baltimore, 21201, US

Last Update: 02/04/2026

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Between 750 and 799
http://www.umms.org
781/1000Fair

The University of Maryland Medical System (UMMS) was created in 1984 when the state-owned University Hospital became a private, nonprofit organization. It has evolved into a multi-hospital system with academic, community and specialty service missions reaching every par...

NAICS:62
NAICS Definition:Health Care and Social Assistance
Employees:11,445
Subsidiaries:2
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
Confluence Health

Confluence Health

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA
University of Maryland Medical System

University of Maryland Medical System

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA

Benchmark & Cyber Underwriting Signals

Incidents vs Hospitals and Health Care Industry Avg (This Year)

No incidents recorded for Confluence Health in 2026.

Incidents

Incidents vs Hospitals and Health Care Industry Avg (This Year)

No incidents recorded for University of Maryland Medical System in 2026.

Incidents

Incident History - Confluence Health (X = Date, Y = Severity)

Confluence Health cyber incidents detection timeline including parent company and subsidiaries.

R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Incident History - University of Maryland Medical System (X = Date, Y = Severity)

University of Maryland Medical System cyber incidents detection timeline including parent company and subsidiaries.

No timeline data available
R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Notable Incidents

Last Cyber / HR Incidents / Global...
Confluence Health

Confluence Health

Incidents
🔒 Incident : Ransomware
CON117072525
🔒 Incident : Data Leak
CON027101122
University of Maryland Medical System

University of Maryland Medical System

Incidents
No explicit notable incidents reported.

FAQ

Between Confluence Health company and University of Maryland Medical System company, which one has the best AI Cybersecurity Score ?
Between Confluence Health company and University of Maryland Medical System company, which one has experienced more cyber incidents in the past ?
Between Confluence Health company and University of Maryland Medical System company, which one has experienced more cyber incidents this year ?
Between Confluence Health company and University of Maryland Medical System company, which one has experienced at least one ransomware attack ?
Between Confluence Health company and University of Maryland Medical System company, which one has experienced at least one data breach ?
Between Confluence Health company and University of Maryland Medical System company, which one has experienced at least one targeted cyberattack ?
Between Confluence Health company and University of Maryland Medical System company, which one has experienced at least one vulnerability ?
Between Confluence Health company and University of Maryland Medical System company, which one holds the most compliance certifications ?
Between Confluence Health company and University of Maryland Medical System company, which one holds the fewest compliance certifications ?
Between Confluence Health company and University of Maryland Medical System company, which one has the most subsidiaries ?
Between Confluence Health company and University of Maryland Medical System company, which one has the largest number of employees ?
Between Confluence Health and University of Maryland Medical System, which company holds both SOC 2 Type 1 certifications ?
Between Confluence Health and University of Maryland Medical System, which company holds both SOC 2 Type 2 certifications ?
Which company is ISO 27001 certified - Confluence Health or University of Maryland Medical System ?
Which company is PCI DSS compliant - Confluence Health or University of Maryland Medical System ?
Between Confluence Health and University of Maryland Medical System, which company complies with HIPAA regulations for healthcare data ?
Between Confluence Health and University of Maryland Medical System, which company complies with GDPR requirements ?

Latest Global CVEs

CVE-2026-63261
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8
CVE-2026-63260
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8
CVE-2026-63259
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 4.3)
CVSS3
Base Score: 4.3
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.8
CVE-2026-63145
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 4.3)
CVSS3
Base Score: 4.3
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.8
CVE-2026-63144
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8