Comparison Overview
Calcasieu Parish School Board

Calcasieu Parish School Board
3310 E Broad St, Lake Charles, 70615, US
Last Update: 04/04/2026
Our family of employees embraces the teamwork associated with Building Foundations for the Future in Calcasieu Parish. The work of all of our employee groups within the school system, in coordination with parents and other community stakeholders, helps to foster the edu...

KinderCare Learning Companies
5005 Meadows Rd, Suite 200, Lake Oswego, OR, US, 97035
Last Update: 04/04/2026
Transform lives—including yours—with the nation’s leading provider of early childhood education and child care. We don’t just hold ourselves to the highest standards; we set new ones. Our accredited programs, talented teachers, and research-based curriculum empower chil...
Compliance Ranges Comparison

Calcasieu Parish School Board







KinderCare Learning Companies






Benchmark & Cyber Underwriting Signals
Incidents vs Education Administration Programs Industry Avg (This Year)
No incidents recorded for Calcasieu Parish School Board in 2026.
Incidents vs Education Administration Programs Industry Avg (This Year)
No incidents recorded for KinderCare Learning Companies in 2026.
Incident History - Calcasieu Parish School Board (X = Date, Y = Severity)
Calcasieu Parish School Board cyber incidents detection timeline including parent company and subsidiaries.
Incident History - KinderCare Learning Companies (X = Date, Y = Severity)
KinderCare Learning Companies cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Calcasieu Parish School Board

KinderCare Learning Companies
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.