Comparison Overview
Institute of Molecular Biology and Biotechnology (IMBB)

Institute of Molecular Biology and Biotechnology (IMBB)
N. Plastira 100, Heraklion, undefined, 713 05, GR
Last Update: 26/12/2025
The Institute of Molecular Biology and Biotechnology (IMBB) is based in Heraklion (Crete), and is conducting basic and applied research in established and emerging areas of Biomedical science. IMBB was founded in 1983 and is part of the Foundation for Research and Techn...

The University of Edinburgh
Old College, South Bridge, Edinburgh, GB, EH8 9YL
Last Update: 10/07/2026
Imagine what you could do at a world-leading university that is globally recognised for its teaching, research and innovation. The University of Edinburgh has been providing students with world-class teaching for more than 425 years, unlocking the potential of some o...
Compliance Ranges Comparison

Institute of Molecular Biology and Biotechnology (IMBB)







The University of Edinburgh






Benchmark & Cyber Underwriting Signals
Incidents vs Research Services Industry Avg (This Year)
No incidents recorded for Institute of Molecular Biology and Biotechnology (IMBB) in 2026.
Incidents vs Research Services Industry Avg (This Year)
No incidents recorded for The University of Edinburgh in 2026.
Incident History - Institute of Molecular Biology and Biotechnology (IMBB) (X = Date, Y = Severity)
Institute of Molecular Biology and Biotechnology (IMBB) cyber incidents detection timeline including parent company and subsidiaries.
Incident History - The University of Edinburgh (X = Date, Y = Severity)
The University of Edinburgh cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Institute of Molecular Biology and Biotechnology (IMBB)

The University of Edinburgh
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.