Comparison Overview
UCalgary Faculty of Graduate Studies

UCalgary Faculty of Graduate Studies
2500 University Dr NW, Calgary, T2N 1N4, CA
Last Update: 02/04/2026
Welcome to the official LinkedIn university page of the Faculty of Graduate Studies (FGS) at the University of Calgary. As part of a vibrant and growing research-intensive institution, FGS is committed to supporting the next generation of scholars, practitioners and pr...

Tecnológico de Monterrey
Ave. Eugenio Garza Sada 2501 Sur, Colonia Tecnológico, Monterrey, nuevo león, MX, 64849
Last Update: 02/04/2026
The Tecnológico de Monterrey is a private university system with 33 campuses in 26 cities in Mexico, which serves more than 96,000 students in its high school, undergraduate and graduate programs. It also has liaison offices in 12 countries. Through the promotion of ...
Compliance Ranges Comparison

UCalgary Faculty of Graduate Studies







Tecnológico de Monterrey






Benchmark & Cyber Underwriting Signals
Incidents vs Higher Education Industry Avg (This Year)
No incidents recorded for UCalgary Faculty of Graduate Studies in 2026.
Incidents vs Higher Education Industry Avg (This Year)
No incidents recorded for Tecnológico de Monterrey in 2026.
Incident History - UCalgary Faculty of Graduate Studies (X = Date, Y = Severity)
UCalgary Faculty of Graduate Studies cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Tecnológico de Monterrey (X = Date, Y = Severity)
Tecnológico de Monterrey cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

UCalgary Faculty of Graduate Studies

Tecnológico de Monterrey
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.