Comparison Overview
PayIt

PayIt
1100 Main St, Kansas City, 64105, US
Last Update: 22/06/2026
PayIt enables state and local government agencies to deliver a great resident payments experience that accelerates the shift to digital. Agencies choose PayIt to better achieve their mission through improved operational efficiency, customer support, and resident satisfa...

Sage
North Park, Newcastle upon Tyne, GB, NE13 9AA
Last Update: 02/04/2026
At Sage, we knock down barriers with information, insights, and tools to help your business flow. We provide businesses with software and services that are simple and easy to use, as we work with you to give you that feeling of confidence. Customers trust our Payroll,...
Compliance Ranges Comparison

PayIt







Sage






Benchmark & Cyber Underwriting Signals
Incidents vs Software Development Industry Avg (This Year)
PayIt has 5.66% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for Sage in 2026.
Incident History - PayIt (X = Date, Y = Severity)
PayIt cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Sage (X = Date, Y = Severity)
Sage cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

PayIt

Sage
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.