Comparison Overview
Bundesamt für Kultur BAK

Bundesamt für Kultur BAK
Hallwylstrasse 15, Bern, undefined, 3003, CH
Last Update: 04/12/2025
Wir als Bundesamt für Kultur BAK engagieren uns für den Schutz des kulturellen Erbes und für die Förderung eines vielfältigen und qualitativ hochstehenden Kulturangebots. Darüber hinaus setzen wir uns für den gesellschaftlichen Zusammenhalt in seiner Vielfalt und für di...

U.S. Department of the Treasury
1500 Pennsylvania Ave NW, Washington, 20005, US
Last Update: 14/07/2026
The Treasury Department is the executive agency responsible for promoting economic prosperity and ensuring the financial security of the United States. The Department is responsible for a wide range of activities such as advising the President on economic and financial ...
Compliance Ranges Comparison

Bundesamt für Kultur BAK







U.S. Department of the Treasury






Benchmark & Cyber Underwriting Signals
Incidents vs Government Administration Industry Avg (This Year)
No incidents recorded for Bundesamt für Kultur BAK in 2026.
Incidents vs Government Administration Industry Avg (This Year)
U.S. Department of the Treasury has 3.85% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - Bundesamt für Kultur BAK (X = Date, Y = Severity)
Bundesamt für Kultur BAK cyber incidents detection timeline including parent company and subsidiaries.
Incident History - U.S. Department of the Treasury (X = Date, Y = Severity)
U.S. Department of the Treasury cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Bundesamt für Kultur BAK

U.S. Department of the Treasury
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.