Comparison Overview
Westman Centre for Real Estate Studies at Haskayne

Westman Centre for Real Estate Studies at Haskayne
2500 University Dr NW, Calgary, T2N 1N4, CA
Last Update: 30/03/2026
The Westman Centre for Real Estate Studies (“the Westman Centre”) was born through the generous support of over 35 individuals and businesses stepping forward to invest in the future of the real estate industry. In November 2013, Jay Westman donated $5 million to name t...

International Workplace Group plc
Dammstrasse 19, Zug, Switzerland, CH, CH-6300
Last Update: 02/04/2026
IWG: the world’s leading platform for work, revolutionising how and where people work IWG (International Workplace Group) is the global leader in hybrid and platform working. With 4,000+ locations across 120 countries and millions of customers worldwide, IWG empowers bu...
Compliance Ranges Comparison

Westman Centre for Real Estate Studies at Haskayne







International Workplace Group plc






Benchmark & Cyber Underwriting Signals
Incidents vs Real Estate Industry Avg (This Year)
No incidents recorded for Westman Centre for Real Estate Studies at Haskayne in 2026.
Incidents vs Real Estate Industry Avg (This Year)
No incidents recorded for International Workplace Group plc in 2026.
Incident History - Westman Centre for Real Estate Studies at Haskayne (X = Date, Y = Severity)
Westman Centre for Real Estate Studies at Haskayne cyber incidents detection timeline including parent company and subsidiaries.
Incident History - International Workplace Group plc (X = Date, Y = Severity)
International Workplace Group plc cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Westman Centre for Real Estate Studies at Haskayne

International Workplace Group plc
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.