Comparison Overview
Hellenic Army

Hellenic Army
Ministry of National Defence, Athens, 115 25, GR
Last Update: 18/03/2026
The Hellenic Army (Greek: Ελληνικός Στρατός, Ellinikós Stratós, sometimes abbreviated as ΕΣ), formed in 1828, is the land force of Greece (with Hellenic being a synonym for Greek). Along with the Hellenic Air Force (HAF) and the Hellenic Navy (HN), it makes up the Helle...

United States Marine Corps
3000 Marine Corps Pentagon, Washington, 20350, US
Last Update: 01/06/2026
The United States Marine Corps (USMC) is a branch of the United States Armed Forces responsible for providing power projection, using the mobility of the United States Navy, by Congressional mandate, to deliver rapidly, combined-arms task forces on land, at sea, and in ...
Compliance Ranges Comparison

Hellenic Army







United States Marine Corps






Benchmark & Cyber Underwriting Signals
Incidents vs Armed Forces Industry Avg (This Year)
Hellenic Army has 52.38% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Armed Forces Industry Avg (This Year)
United States Marine Corps has 3.85% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - Hellenic Army (X = Date, Y = Severity)
Hellenic Army cyber incidents detection timeline including parent company and subsidiaries.
Incident History - United States Marine Corps (X = Date, Y = Severity)
United States Marine Corps cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Hellenic Army

United States Marine Corps
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.