Comparison Overview
Wavell State High School

Wavell State High School
Telopia Ave, Wavell Heights, Queensland, 4012, AU
Last Update: 29/03/2026
At Wavell State High School we respect the past, are responsive to our current context and lead to promote future opportunity for all. With our School Motto, Esse Quam Videri, ‘To Be Rather Than To Seem’, and vision in which we are Empowering Learners, Empowering Futur...

Cobb County School District
514 Glover Street, Marietta, 30060, US
Last Update: 01/04/2026
The COBB COUNTY SCHOOL DISTRICT is a public school system with administrative offices based at 514 Glover St., Marietta, GA 30060. Cobb County School District (CCSD) is the second largest school system in Georgia. CCSD is responsible for educating more than 112,000 stud...
Compliance Ranges Comparison

Wavell State High School







Cobb County School District






Benchmark & Cyber Underwriting Signals
Incidents vs Primary and Secondary Education Industry Avg (This Year)
No incidents recorded for Wavell State High School in 2026.
Incidents vs Primary and Secondary Education Industry Avg (This Year)
No incidents recorded for Cobb County School District in 2026.
Incident History - Wavell State High School (X = Date, Y = Severity)
Wavell State High School cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Cobb County School District (X = Date, Y = Severity)
Cobb County School District cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Wavell State High School

Cobb County School District
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.