Comparison Overview
NAHGA Claim Services

NAHGA Claim Services
04009, US
Last Update: 29/03/2026
We are independently owned and operated Third Party Medical Claims Administrator, building our services on decades of experience in the national insurance market. Specializing in many types of insurance, NCS just might be the answer you’ve been looking for. Why Choos...

AXA
25, avenue Matignon, Paris, 75008, FR
Last Update: 18/07/2026
As one of the largest global insurers, our purpose is to act for human progress by protecting what matters. Protection has always been at the core of our business, helping individuals, businesses and societies to thrive. And AXA has always been a leader, an innovator, ...
Compliance Ranges Comparison

NAHGA Claim Services







AXA






Benchmark & Cyber Underwriting Signals
Incidents vs Insurance Industry Avg (This Year)
No incidents recorded for NAHGA Claim Services in 2026.
Incidents vs Insurance Industry Avg (This Year)
No incidents recorded for AXA in 2026.
Incident History - NAHGA Claim Services (X = Date, Y = Severity)
NAHGA Claim Services cyber incidents detection timeline including parent company and subsidiaries.
Incident History - AXA (X = Date, Y = Severity)
AXA cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

NAHGA Claim Services

AXA
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.