Comparison Overview
QualDerm Partners

QualDerm Partners
5141 Virginia Way, Brentwood, 37027, US
Last Update: 21/03/2026
QualDerm Partners – A Skin and Aesthetics Wellness Family is an exciting brand created from combining two of the best-in-class names in skin and aesthetics care: Pinnacle Dermatology and QualDerm Partners. What hasn’t changed is our commitment to supporting high-quality...

BrightSpring Health Services
805 N Whittington Pkwy, Louisville, 40222, US
Last Update: 30/03/2026
BrightSpring is the parent company of a family of services and brands that provides clinical, nonclinical, pharmacy and ancillary care services for people of all ages, health and skill levels across home and community settings. The company is a leading provider of div...
Compliance Ranges Comparison

QualDerm Partners







BrightSpring Health Services






Benchmark & Cyber Underwriting Signals
Incidents vs Hospitals and Health Care Industry Avg (This Year)
QualDerm Partners has 28.57% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Hospitals and Health Care Industry Avg (This Year)
No incidents recorded for BrightSpring Health Services in 2026.
Incident History - QualDerm Partners (X = Date, Y = Severity)
QualDerm Partners cyber incidents detection timeline including parent company and subsidiaries.
Incident History - BrightSpring Health Services (X = Date, Y = Severity)
BrightSpring Health Services cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

QualDerm Partners

BrightSpring Health Services
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.