Comparison Overview
Cashea

Cashea
Caracas, VE
Last Update: 23/03/2026
En Cashea, tenemos un propósito que nos une: habilitar posibilidades que impulsen a las personas a seguir creciendo. Para eso, tenemos el compromiso de ser una alternativa accesible que ayude a las personas a alcanzar las cosas que quieren y necesitan. Cashea nació en...

Global Payments Inc.
Atlanta, Georgia, US
Last Update: 01/04/2026
Global Payments (NYSE: GPN) is a leading payment technology and software company that powers commerce for businesses of all sizes worldwide. We help businesses grow with confidence by delivering innovative solutions that enable seamless payment acceptance, smarter opera...
Compliance Ranges Comparison

Cashea







Global Payments Inc.






Benchmark & Cyber Underwriting Signals
Incidents vs Financial Services Industry Avg (This Year)
Cashea has 42.86% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Financial Services Industry Avg (This Year)
No incidents recorded for Global Payments Inc. in 2026.
Incident History - Cashea (X = Date, Y = Severity)
Cashea cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Global Payments Inc. (X = Date, Y = Severity)
Global Payments Inc. cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Cashea

Global Payments Inc.
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.