Comparison Overview
Jungheinrich Schweiz

Jungheinrich Schweiz
Holzikerstrasse 5, Hirschthal, Aargau 5042, CH
Last Update: 14/04/2026
Jungheinrich inspiriert, beeinflusst und prägt die Welt der Intralogistik seit über 60 Jahren. Ob eine Flottenerneuerung mit hochwertigen Gabelstaplern und Hubwagen, eine Effizienzsteigerung mittels automatisierten Lagersystemen oder die Überführung der Fördertechnik i...

TK Elevator
E-Plus Straße 1, Düsseldorf, North Rhine-Westphalia, DE, 40472
Last Update: 01/04/2026
𝗪𝗲𝗹𝗰𝗼𝗺𝗲 𝘁𝗼 𝗧𝗞 𝗘𝗹𝗲𝘃𝗮𝘁𝗼𝗿 – 𝗪𝗵𝗲𝗿𝗲 𝗜𝗻𝗴𝗲𝗻𝘂𝗶𝘁𝘆 𝗘𝗹𝗲𝘃𝗮𝘁𝗲𝘀 𝗨𝗿𝗯𝗮𝗻 𝗟𝗶𝘃𝗶𝗻𝗴 Engineering pioneer. Global industry leader. TK Elevator draws on a legacy of firsts – from a groundbreaking vertical conveyor in 1890 – to evolve modern ...
Compliance Ranges Comparison

Jungheinrich Schweiz







TK Elevator






Benchmark & Cyber Underwriting Signals
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Jungheinrich Schweiz in 2026.
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for TK Elevator in 2026.
Incident History - Jungheinrich Schweiz (X = Date, Y = Severity)
Jungheinrich Schweiz cyber incidents detection timeline including parent company and subsidiaries.
Incident History - TK Elevator (X = Date, Y = Severity)
TK Elevator cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Jungheinrich Schweiz

TK Elevator
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.