Comparison Overview
University of North Texas

University of North Texas
1155 Union Circle #311277, Denton, Tx, US, 76203-1277
Last Update: 02/04/2026
Ranked a Tier One research university by the Carnegie Classification, UNT is the flagship of the UNT System and is located in Denton, Texas. With 242 degree programs and a thriving community of nearly 44,000 students, UNT serves the North Texas region and helps drive th...

The Ohio State University
190 N Oval Mall, Columbus, Ohio, US, 43210
Last Update: 01/04/2026
One of the largest universities in the United States, The Ohio State University is a leading research university and the model for Ohio's public higher education institutes. Founded in 1870 as a land-grant university, it consistently ranks as one of the top public unive...
Compliance Ranges Comparison

University of North Texas







The Ohio State University






Benchmark & Cyber Underwriting Signals
Incidents vs Higher Education Industry Avg (This Year)
No incidents recorded for University of North Texas in 2026.
Incidents vs Higher Education Industry Avg (This Year)
No incidents recorded for The Ohio State University in 2026.
Incident History - University of North Texas (X = Date, Y = Severity)
University of North Texas cyber incidents detection timeline including parent company and subsidiaries.
Incident History - The Ohio State University (X = Date, Y = Severity)
The Ohio State University cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

University of North Texas

The Ohio State University
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.