Comparison Overview
Allianz Partners Mexico

Allianz Partners Mexico
Insurgentes Sur 1602-302 , Crédito Constructor 03940 , Benito Juárez, 03940, MX
Last Update: 07/02/2026
We are Allianz Partners and we are here to help. We have been helping people for over 60 years. As a leading global company in assistance services we dare and care anytime, anywhere. At Allianz Worldwide Partners everyone of our employees is part of our family! And to...

IAG
201 Sussex St, Sydney, 2000, AU
Last Update: 01/04/2026
IAG is Australia and New Zealand's largest general insurance company with a purpose to make your world a safer place, whether you are a customer, partner, employee, shareholder or part of the communities IAG serves across Australia and New Zealand. Our businesses have ...
Compliance Ranges Comparison

Allianz Partners Mexico







IAG






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

Allianz Partners Mexico

IAG
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.