Comparison Overview
Extant Aerospace

Extant Aerospace
1615 W. NASA Blvd, Melbourne, FL, 32901, US
Last Update: 24/12/2025
Extant Aerospace manufactures and supplies complex electronic assemblies to the DOD and international customers for military and commercial applications. The company offers digital communications solutions including a full line of Improved Data Modems (IDM) in various h...

Aselsan
296. Cadde 16, Mehmet Akif Ersoy, 06200, TR
Last Update: 01/04/2026
ASELSAN is a company of Turkish Armed Forces Foundation, established in 1975 in order to meet the communication needs of the Turkish Armed Forces by national means. Currently 74,20% of the shares are owned by the Foundation whereas the remaining 25,8% runs in İstanbul ...
Compliance Ranges Comparison

Extant Aerospace







Aselsan






Benchmark & Cyber Underwriting Signals
Incidents vs Defense and Space Manufacturing Industry Avg (This Year)
No incidents recorded for Extant Aerospace in 2026.
Incidents vs Defense and Space Manufacturing Industry Avg (This Year)
No incidents recorded for Aselsan in 2026.
Incident History - Extant Aerospace (X = Date, Y = Severity)
Extant Aerospace cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Aselsan (X = Date, Y = Severity)
Aselsan cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Extant Aerospace

Aselsan
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.