Comparison Overview
Wolters Kluwer Australia

Wolters Kluwer Australia
66 Talavera Rd, Macquarie Park, New South Wales, 2113, AU
Last Update: 23/02/2026
Wolters Kluwer Australia is a leading tax and accounting software provider and business publisher in Tax, Accounting & Financial Planning, Corporate & Business Law, Environment, HR, Employment & Safety. For more than 40 years, Wolters Kluwer Australia has been build...

Amazon Web Services (AWS)
410 Terry Ave N, Seattle, 98019, US
Last Update: 19/07/2026
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and...
Compliance Ranges Comparison

Wolters Kluwer Australia







Amazon Web Services (AWS)






Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Wolters Kluwer Australia in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
Amazon Web Services (AWS) has 1900.0% more incidents than the average of all companies with at least one recorded incident.
Incident History - Wolters Kluwer Australia (X = Date, Y = Severity)
Wolters Kluwer Australia cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Amazon Web Services (AWS) (X = Date, Y = Severity)
Amazon Web Services (AWS) cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Wolters Kluwer Australia

Amazon Web Services (AWS)
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.