Comparison Overview
Institute of Virology and Immunology IVI

Institute of Virology and Immunology IVI
Sensemattstrasse 293, Mittelhäusern, Bern, 3147, CH
Last Update: 13/03/2026
The Institute of Virology and Immunology (IVI) is Switzerland’s reference laboratory for the diagnosis, monitoring and research of highly infectious epizootic diseases, including viral zoonoses (infectious diseases that are transmissible between animals and humans). The...

Malmö stad
August Palms plats 1, Malmö, 205 80, SE
Last Update: 03/04/2026
Bli en samhällsbyggare – jobba i Malmö stad! Genom att arbeta i Malmö stad får du möjlighet att arbeta med hållbar samhällsutveckling. Som en samhällsbyggare spelar du en viktig roll i Malmös utveckling och därför ser vi oss som framtidens arbetsplats. Människors lik...
Compliance Ranges Comparison

Institute of Virology and Immunology IVI







Malmö stad






Benchmark & Cyber Underwriting Signals
Incidents vs Government Administration Industry Avg (This Year)
No incidents recorded for Institute of Virology and Immunology IVI in 2026.
Incidents vs Government Administration Industry Avg (This Year)
No incidents recorded for Malmö stad in 2026.
Incident History - Institute of Virology and Immunology IVI (X = Date, Y = Severity)
Institute of Virology and Immunology IVI cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Malmö stad (X = Date, Y = Severity)
Malmö stad cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Institute of Virology and Immunology IVI

Malmö stad
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.