Has Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg been affected by any supply chain cyber incidents ?

According to Rankiteo, Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

What is the NAICS classification code for Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg ?

Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg is classified under the NAICS code 6113, which corresponds to Colleges, Universities, and Professional Schools.

How many peer or competitor companies does Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg have ?

Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg has an estimated 17,228 peer or competitor companies worldwide.

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LCSBUL

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772

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Fair

797

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Fair

Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg Vendor Cyber Rating & Cyber Score

uni.lu

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The LCSB combines expertise from a broad spectrum of disciplines to study the brain and its diseases. Our research focuses on neurodegenerative diseases such as Alzheimer’s or Parkinson’s. When do they start to develop? What is the role of genetics? How are they influenced by lifestyle, diet or environment? How do all these factors interact? How can we slow down the progression of neurodegenerative diseases or even prevent them? We are tirelessly searching for answers, for the benefit of patients. Despite tremendous progress in medicine in the last decade, doctors are still unable to treat many brain diseases at their cause. The reason? We have not yet understood in detail how these diseases arise. Particularly as the earliest changes in

LCSBUL A.I CyberSecurity Scoring

Scoring History

LCSBUL

Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg CyberSecurity News & History

Past Incidents

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Type

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Impact

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A.I.

LCSBUL Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

Actual

Prediction A

Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for LCSBUL

Incidents vs Higher Education Industry Avg (This Year)

No incidents recorded for Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg in 2026.

Incident Types LCSBUL vs Higher Education Industry Avg (This Year)

No incidents recorded for Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg in 2026.

Incident History - LCSBUL (X = Date, Y = Severity)

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SUBSIDIARY

Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg Subsidiaries

LCSBUL

Higher Education

Website: https://www.uni.lu/lcsb-en/

Company Size: 201-500 employees

Université du LuxembourgEnseignement supérieur

Luxembourg Centre for Socio-Environmental Systems (LCSES) - University of LuxembourgHigher Education

Luxembourg Centre for European Law (LCEL) - University of LuxembourgÉtudes/recherche

Faculté de Droit, d’Économie et de Finance - Université du LuxembourgEnseignement supérieur

University of Luxembourg Incubator and Entrepreneurship ProgrammeEnseignement supérieur

Luxembourg Centre for Logistics & Supply Chain ManagementEnseignement supérieur

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NEWS

Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg CyberSecurity News

Latest updates, reports, and threat intel affecting the global network.

July 28, 2025 07:00 AM

Strengthening academic, scientific and digital cooperation between Luxembourg and Japan: Stéphanie Obertin on a mission to Tokyo

As part of an official mission to Japan, the Minister for Research and Higher Education and Minister for Digitalisation, Stéphanie Obertin,...

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-63261

SUMMARY

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.

Published

Date2026-07-21

Updated

Date2026-07-21

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Impact Score

3.6

Exploitability

2.8

REFERENCES

https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-72/388575

CVE-2026-63260

SUMMARY

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.

Published

Date2026-07-21

Updated

Date2026-07-21

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Impact Score

3.6

Exploitability

2.8

REFERENCES

https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-71/388574

CVE-2026-63259

SUMMARY

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.

Published

Date2026-07-21

Updated

Date2026-07-21

RISK INFORMATION (Score: 4.3)

cvss3

Base Score: 4.3

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N

Impact Score

1.4

Exploitability

2.8

REFERENCES

https://discuss.elastic.co/t/kibana-9-4-4-security-update-esa-2026-70/388573

CVE-2026-63145

SUMMARY

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.

Published

Date2026-07-21

Updated

Date2026-07-21

RISK INFORMATION (Score: 4.3)

cvss3

Base Score: 4.3

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N

Impact Score

1.4

Exploitability

2.8

REFERENCES

https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-69/388572

CVE-2026-63144

SUMMARY

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.

Published

Date2026-07-21

Updated

Date2026-07-21

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Impact Score

3.6

Exploitability

2.8

REFERENCES

https://discuss.elastic.co/t/elasticsearch-8-19-19-9-3-8-9-4-4-security-update-esa-2026-68/388571

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