Comparison Overview
CIC

CIC
6, Avenue de Provence, Paris, Île-de-France, FR, 75009
Last Update: 01/04/2026
CIC is the fourth largest banking group in France, consisting of seven regional banks which operate across France through a network of 1,844 branches employing 24,000 staff. CIC's customer base includes 2.7 million retail clients. One in eleven self-employed professiona...

Regions Bank
1900 5th Ave N, Birmingham, Alabama, US, 35203
Last Update: 02/04/2026
Regions Financial Corporation is a member of the S&P 500 Index and is one of the nation’s largest full-service providers of consumer and commercial banking, wealth management, and mortgage products and services. Regions serves customers across the South, Midwest and Tex...
Compliance Ranges Comparison

CIC







Regions Bank






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

CIC

Regions Bank
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.