Comparison Overview
Centre for Environmental and Climate Science

Centre for Environmental and Climate Science
Sölvegatan 37, Lund, Skåne County, 223 62, SE
Last Update: 12/02/2026
CEC's mission is to initiate, support and conduct education and research on society’s impact on the natural environment and on societal challenges and possible solutions concerning the environment, climate and sustainable development. On this page we invite you to inter...

Galileo Global Education
41, Rue Saint-Sébastien, Paris, 75011, FR
Last Update: 02/04/2026
Galileo Global Education, world leader in independent higher education with 210,000 students, 61 schools and 106 campuses in 18 countries, placed employability and innovation at the heart of its strategy for 15 years. Galileo Global Education's mission is to enable ever...
Compliance Ranges Comparison

Centre for Environmental and Climate Science







Galileo Global Education






Benchmark & Cyber Underwriting Signals
Incidents vs Higher Education Industry Avg (This Year)
No incidents recorded for Centre for Environmental and Climate Science in 2026.
Incidents vs Higher Education Industry Avg (This Year)
No incidents recorded for Galileo Global Education in 2026.
Incident History - Centre for Environmental and Climate Science (X = Date, Y = Severity)
Centre for Environmental and Climate Science cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Galileo Global Education (X = Date, Y = Severity)
Galileo Global Education cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Centre for Environmental and Climate Science

Galileo Global Education
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.