Comparison Overview
Onyx Equities

Onyx Equities
90 Woodbridge Center Dr, Woodbridge, 07095, US
Last Update: 02/04/2026
Onyx Equities, LLC is a full-service real estate firm specializing in investment, asset repositioning, and development. Since 2004, Onyx has acquired over $4.5 billion in assets across NJ, NY, and PA, and has executed more than $1.1 billion in capital improvements. With...

JLL
200 East Randolph Drive, Chicago, Illinois, US, 60601
Last Update: 05/04/2026
We’re a leading professional services firm that specializes in real estate and investment management. JLL shapes the future of real estate for a better world by using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real est...
Compliance Ranges Comparison

Onyx Equities







JLL






Benchmark & Cyber Underwriting Signals
Incidents vs Real Estate Industry Avg (This Year)
Onyx Equities has 43.82% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Real Estate Industry Avg (This Year)
No incidents recorded for JLL in 2026.
Incident History - Onyx Equities (X = Date, Y = Severity)
Onyx Equities cyber incidents detection timeline including parent company and subsidiaries.
Incident History - JLL (X = Date, Y = Severity)
JLL cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Onyx Equities

JLL
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.