Comparison Overview
Delta Hotels and Resorts®

Delta Hotels and Resorts®
77 King Street West, Suite 2300, Toronto, M5K 1G8, CA
Last Update: 02/02/2026
Founded in 1962 in Richmond, British Columbia, Delta Hotels and Resorts® has grown from a single 62-room motor inn to become Canada's leading first-class hotel management company. Today, we boast a diversified portfolio of 40 city-centre, airport and resort propertie...

Hyatt
150 N Riverside Plaza, Chicago, IL, US, 60606
Last Update: 18/07/2026
Hyatt is guided by its purpose: to care for people so they can be their best. Hyatt’s portfolio includes 1,000+ hotel and all-inclusive properties in over 75 countries across 6 continents. Hyatt’s offerings include brands in the Timeless Collection, including Park Hyatt...
Compliance Ranges Comparison

Delta Hotels and Resorts®







Hyatt






Benchmark & Cyber Underwriting Signals
Incidents vs Hospitality Industry Avg (This Year)
No incidents recorded for Delta Hotels and Resorts® in 2026.
Incidents vs Hospitality Industry Avg (This Year)
No incidents recorded for Hyatt in 2026.
Incident History - Delta Hotels and Resorts® (X = Date, Y = Severity)
Delta Hotels and Resorts® cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Hyatt (X = Date, Y = Severity)
Hyatt cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Delta Hotels and Resorts®

Hyatt
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.