Comparison Overview
Root Cause Insights
Root Cause Insights
Philadelphia, PA, US
Last Update: 27/03/2026
Root Cause Insights, LLC (“RCI”) is a clinical, consumer, and human factors research consultancy specializing in the research and development of safe and effective products. RCI has experience supporting the research and development of both consumer and medical products...
Technical University of Munich
Arcisstraße 21, München, Munich, Bavaria, DE, 80333
Last Update: 02/04/2026
Our university combines top-class facilities for cutting-edge research with unique learning opportunities for 52,000 students. Whether our researchers are investigating the origins of life, matter and the universe or looking for solutions to the major challenges for our...
Compliance Ranges Comparison
Root Cause Insights
Technical University of Munich
Benchmark & Cyber Underwriting Signals
Incidents vs Research Services Industry Avg (This Year)
No incidents recorded for Root Cause Insights in 2026.
Incidents vs Research Services Industry Avg (This Year)
No incidents recorded for Technical University of Munich in 2026.
Incident History - Root Cause Insights (X = Date, Y = Severity)
Root Cause Insights cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Technical University of Munich (X = Date, Y = Severity)
Technical University of Munich cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Root Cause Insights
Technical University of Munich
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.