Comparison Overview
TAG MedStaffing

TAG MedStaffing
19 West 34th Street, New York, New York, 10001, US
Last Update: 10/11/2025
TAG MedStaffing, a division of The Atlantic Group, was founded in 2006 and has evolved into a diverse, comprehensive recruiting organization serving clients globally across multiple platforms. TAG MedStaffing was formed to take the firm’s healthcare staffing and recrui...

Insight Global
1224 Hammond Drive, Suite 1500, Atlanta, Georgia, US, 30346
Last Update: 30/03/2026
Insight Global is an international professional services and staffing company specializing in delivering talent and technical solutions to Fortune 1000 companies across the IT, Non-IT, Healthcare, and Engineering industries. Fueled by staffing and talent experts, Evergr...
Compliance Ranges Comparison

TAG MedStaffing







Insight Global






Benchmark & Cyber Underwriting Signals
Incidents vs Staffing and Recruiting Industry Avg (This Year)
No incidents recorded for TAG MedStaffing in 2026.
Incidents vs Staffing and Recruiting Industry Avg (This Year)
No incidents recorded for Insight Global in 2026.
Incident History - TAG MedStaffing (X = Date, Y = Severity)
TAG MedStaffing cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Insight Global (X = Date, Y = Severity)
Insight Global cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

TAG MedStaffing

Insight Global
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.