Comparison Overview
Eagle Hills UAE

Eagle Hills UAE
9th Floor, Capital Plaza Towers,, Abu Dhabi, 34888, AE
Last Update: 28/12/2025
Experts in urbanization and renewal. Born in the United Arab Emirates in April 2014, Eagle Hills specializes in the development, creation and reinvigoration of urban centres. We work in line with governments and policy makers to develop advanced city hubs and flagsh...

Savills
33 Margaret Street, London, GB, W1G 0JD
Last Update: 01/04/2026
Savills is a global real estate advisor helping people thrive through places and spaces. With over 42,000 professionals in more than 700 offices across the Americas, Europe, Asia Pacific, Africa and the Middle East, we combine local knowledge with global insight to del...
Compliance Ranges Comparison

Eagle Hills UAE







Savills






Benchmark & Cyber Underwriting Signals
Incidents vs Real Estate Industry Avg (This Year)
No incidents recorded for Eagle Hills UAE in 2026.
Incidents vs Real Estate Industry Avg (This Year)
No incidents recorded for Savills in 2026.
Incident History - Eagle Hills UAE (X = Date, Y = Severity)
Eagle Hills UAE cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Savills (X = Date, Y = Severity)
Savills cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Eagle Hills UAE

Savills
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.