Comparison Overview
Canada Life

Canada Life
330 University Avenue, Toronto, M5G 1R8, CA
Last Update: 02/04/2026
At Canada Life, we’re focused on improving the financial, physical and mental well-being of Canadians. Whether handling policy claims, help growing and protecting clients’ retirement and investment savings, providing workplace mental health support for all employers or ...

Aflac
1932 Wynnton Rd, Columbus, 31999, US
Last Update: 30/06/2026
Over 50 Million people worldwide have chosen Aflac because of our commitment to providing customers with the confidence that comes from knowing they have assistance in being prepared for whatever life may bring. With Aflac, whether you're a large business or a small o...
Compliance Ranges Comparison

Canada Life







Aflac






Benchmark & Cyber Underwriting Signals
Incidents vs Insurance Industry Avg (This Year)
No incidents recorded for Canada Life in 2026.
Incidents vs Insurance Industry Avg (This Year)
Aflac has 92.31% more incidents than the average of all companies with at least one recorded incident.
Incident History - Canada Life (X = Date, Y = Severity)
Canada Life cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Aflac (X = Date, Y = Severity)
Aflac cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Canada Life

Aflac
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.