Comparison Overview
Air National Guard

Air National Guard
Easton Rd, Horsham, 19044, US
Last Update: 04/04/2026
The Air Guard offers a part-time position that can make a big difference in your life. We provide state-of-the-art training in a wide range of high-tech positions. The result is real-world career skills that employers are looking for - the kinds of skills that can make ...

Canadian Armed Forces | Forces armées canadiennes
101 Colonel By Drive, Ottawa, Ontario, CA, K1A 0K2
Last Update: 30/03/2026
A career in the Canadian Armed Forces is more than a way to make a living. It’s a passport to a whole-life experience that will change you and allow you to change the lives of others. Join an organization that offers more than 100 different trades and professions. Ob...
Compliance Ranges Comparison

Air National Guard







Canadian Armed Forces | Forces armées canadiennes






Benchmark & Cyber Underwriting Signals
Incidents vs Armed Forces Industry Avg (This Year)
No incidents recorded for Air National Guard in 2026.
Incidents vs Armed Forces Industry Avg (This Year)
No incidents recorded for Canadian Armed Forces | Forces armées canadiennes in 2026.
Incident History - Air National Guard (X = Date, Y = Severity)
Air National Guard cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Canadian Armed Forces | Forces armées canadiennes (X = Date, Y = Severity)
Canadian Armed Forces | Forces armées canadiennes cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Air National Guard

Canadian Armed Forces | Forces armées canadiennes
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.