Comparison Overview
Genie EMEA Careers

Genie EMEA Careers
N/A
Last Update: 30/01/2026
Welcome to Genie in the EMEA Region! At Genie EMEA, we're reaching new heights across borders and cultures with a diverse team dedicated to excellence in the mobile elevating work platform (MEWP) industry. Our commitment to growth shines through our support and develo...

Kimberly-Clark
351 Phelps Dr, Irving, TX, US, 75038
Last Update: 03/04/2026
At Kimberly-Clark, everything we do begins with care — for people, for communities, and for the planet we share. For more than 150 years, our brands have created essentials that make life better for billions of people every day. Better Care for a Better World is more th...
Compliance Ranges Comparison

Genie EMEA Careers







Kimberly-Clark






Benchmark & Cyber Underwriting Signals
Incidents vs Manufacturing Industry Avg (This Year)
No incidents recorded for Genie EMEA Careers in 2026.
Incidents vs Manufacturing Industry Avg (This Year)
No incidents recorded for Kimberly-Clark in 2026.
Incident History - Genie EMEA Careers (X = Date, Y = Severity)
Genie EMEA Careers cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Kimberly-Clark (X = Date, Y = Severity)
Kimberly-Clark cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Genie EMEA Careers

Kimberly-Clark
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.