Comparison Overview
UTS Research Excellence and Support (RES) Hub

UTS Research Excellence and Support (RES) Hub
1 Broadway, Sydney, 2007, AU
Last Update: 17/12/2025
UTS RES Hub supports high-quality research practices, providing a pathway to the tools, training, information and support needed to deliver impactful research. Connect with the UTS research community every second Wednesday at the Research Cafe, held fortnightly from 12p...

Ghent University
Universiteitsforum (Ufo) Sint-Pietersnieuwstraat 33, Gent, Gent, east flanders, BE, 9000
Last Update: 30/03/2026
Ghent University is a top 100 university and one of the major universities in Belgium, founded in 1817. Our 11 faculties offer a wide range of courses and conduct in-depth research within a wide range of scientific domains. We are a pluralistic university that is open t...
Compliance Ranges Comparison

UTS Research Excellence and Support (RES) Hub







Ghent University






Benchmark & Cyber Underwriting Signals
Incidents vs Higher Education Industry Avg (This Year)
No incidents recorded for UTS Research Excellence and Support (RES) Hub in 2026.
Incidents vs Higher Education Industry Avg (This Year)
No incidents recorded for Ghent University in 2026.
Incident History - UTS Research Excellence and Support (RES) Hub (X = Date, Y = Severity)
UTS Research Excellence and Support (RES) Hub cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Ghent University (X = Date, Y = Severity)
Ghent University cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

UTS Research Excellence and Support (RES) Hub

Ghent 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.