Comparison Overview
Barclaycard

Barclaycard
1, Churchill Place, London, GB, E14 5HP
Last Update: 02/02/2026
Barclaycard, part of Barclays Bank UK PLC, is a leading global payment business that helps consumers, retailers and businesses to make and take payments flexibly, and to access short-term credit and point of sale finance. The company is a pioneer of new forms of payme...

Nationale-Nederlanden
Pr. Beatrixlaan 35, Den Haag, ., NL, 2595 AK
Last Update: 02/04/2026
NN Group is an international financial services company, active in 10 countries, with a strong presence in a number of European countries and Japan. Our roots lie in the Netherlands, with a rich history of more than 175 years. With our 15,000 employees, NN Group provid...
Compliance Ranges Comparison

Barclaycard







Nationale-Nederlanden






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

Barclaycard

Nationale-Nederlanden
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.