Comparison Overview
Intact

Intact
700 University Avenue, Toronto, M5G 0A1, CA
Last Update: 01/04/2026
We created a purpose-driven company based on Values and a belief that insurance is about people, not things. This is the foundation on which we have built Intact and it lives every day through our purpose, Values, what we aim to achieve and how. ___ Nous sommes là pour...

Sunshine Insurance Group
朝外大街, 朝阳区, 100020, CN
Last Update: 01/04/2026
Established in July 2005, Sunshine Insurance Group has experienced sustainable development, now ranking among the Top 7 insurance groups in China, with an annual business income of $12.6 billion in 2016. Sunshine is composed of Property and Casualty Insurance, Life Insu...
Compliance Ranges Comparison

Intact







Sunshine Insurance Group






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

Intact

Sunshine Insurance Group
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.