Comparison Overview
Délégation générale du Québec à Bruxelles (DGQB)

Délégation générale du Québec à Bruxelles (DGQB)
Rue du Châtelain 32, Bruxelles, 1050, BE
Last Update: 11/03/2026
Inaugurée en 1972, la Délégation générale du Québec à Bruxelles a pour mandat d'assurer le rayonnement du Québec et la promotion de ses intérêts en Belgique, au Luxembourg, aux Pays-Bas et auprès des institutions européennes. Nétiquette : https://mrif.info/Nétiquette

Gouvernement du Québec – Carrières
875, Grande-Allée Est, Québec, G1R 5R8, CA
Last Update: 01/04/2026
Travailler dans la fonction publique du Québec, c'est plus qu'une carrière! Réparti(e)s dans une vingtaine de ministères et une soixantaine d'organismes à travers le Québec, tous les gestes posés par les employé(e)s de la fonction publique façonnent l’avenir de la socié...
Compliance Ranges Comparison

Délégation générale du Québec à Bruxelles (DGQB)







Gouvernement du Québec – Carrières






Benchmark & Cyber Underwriting Signals
Incidents vs Government Administration Industry Avg (This Year)
No incidents recorded for Délégation générale du Québec à Bruxelles (DGQB) in 2026.
Incidents vs Government Administration Industry Avg (This Year)
No incidents recorded for Gouvernement du Québec – Carrières in 2026.
Incident History - Délégation générale du Québec à Bruxelles (DGQB) (X = Date, Y = Severity)
Délégation générale du Québec à Bruxelles (DGQB) cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Gouvernement du Québec – Carrières (X = Date, Y = Severity)
Gouvernement du Québec – Carrières cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Délégation générale du Québec à Bruxelles (DGQB)

Gouvernement du Québec – Carrières
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.