Comparison Overview
Network Connex
Network Connex
5101 Thatcher Rd, Downers Grove, 60515, US
Last Update: 05/03/2026
For more than 20 years, the communications infrastructure systems that carry data and communications around a building, through a city, or across the country have been designed and built by Network Connex. Our work accelerates the performance and reliability of data cen...
A1 Telekom Austria Group
Lassallestrasse 9, Vienna, Vienna, AT, 1020
Last Update: 02/04/2026
WE ARE EMPOWERING DIGITAL LIFE We don't know what the world will look like in 2050, but we know that A1 Telekom Austria Group is geared up for current and future demands. We are a leading provider of digital services and communications solutions in Central and Eastern...
Compliance Ranges Comparison
Network Connex
A1 Telekom Austria Group
Benchmark & Cyber Underwriting Signals
Incidents vs Telecommunications Industry Avg (This Year)
No incidents recorded for Network Connex in 2026.
Incidents vs Telecommunications Industry Avg (This Year)
No incidents recorded for A1 Telekom Austria Group in 2026.
Incident History - Network Connex (X = Date, Y = Severity)
Network Connex cyber incidents detection timeline including parent company and subsidiaries.
Incident History - A1 Telekom Austria Group (X = Date, Y = Severity)
A1 Telekom Austria Group cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Network Connex
A1 Telekom Austria Group
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.