Comparison Overview
Azadea Group

Azadea Group
P1 & P2, O14 Tower, Abraj Street, Business Bay, Dubai, 22700, AE
Last Update: 31/03/2026
AZADEA Group is a premier lifestyle retail company that owns and operates more than 40+ leading international franchise concepts across the Middle East and Africa. With over 13,500 employees, dedicated offices in every market it operates, and world-class infrastructure,...

Macy's
151 W 34th St, New York, 10001, US
Last Update: 04/04/2026
Macy's is America’s store for life. The largest retail brand of Macy's, Inc. (NYSE:M) delivers quality fashion at affordable prices to customers at approximately 640 locations in 43 states, the District of Columbia, Puerto Rico, and Guam, as well as to customers in more...
Compliance Ranges Comparison

Azadea Group







Macy's






Benchmark & Cyber Underwriting Signals
Incidents vs Retail Industry Avg (This Year)
No incidents recorded for Azadea Group in 2026.
Incidents vs Retail Industry Avg (This Year)
No incidents recorded for Macy's in 2026.
Incident History - Azadea Group (X = Date, Y = Severity)
Azadea Group cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Macy's (X = Date, Y = Severity)
Macy's cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Azadea Group

Macy's
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.