Comparison Overview
CARBAGAS AG / Air Liquide

CARBAGAS AG / Air Liquide
Hofgut, Gümligen, Bern 3073, CH
Last Update: 18/02/2026
Carbagas ist der schweizweit führende Anbieter von Gasen für die Industrie und das Gesundheitswesen. Carbagas ist Teil der Air Liquide-Gruppe, Weltmarktführer im Bereich Gase, Technologien und Serviceleistungen für Industrie und Gesundheit. Mit 66‘400 Mitarbeitern in 7...

INEOS
38 Hans Crescent, London, SW1X 0LZ, GB
Last Update: 01/04/2026
We are a global manufacturer of raw materials and a producer of energy used in everyday life. From medicines to mobile phones, agriculture to automotive, our products enhance standards of living for everyone around the world. We understand the challenge the world is f...
Compliance Ranges Comparison

CARBAGAS AG / Air Liquide







INEOS






Benchmark & Cyber Underwriting Signals
Incidents vs Chemical Manufacturing Industry Avg (This Year)
No incidents recorded for CARBAGAS AG / Air Liquide in 2026.
Incidents vs Chemical Manufacturing Industry Avg (This Year)
No incidents recorded for INEOS in 2026.
Incident History - CARBAGAS AG / Air Liquide (X = Date, Y = Severity)
CARBAGAS AG / Air Liquide cyber incidents detection timeline including parent company and subsidiaries.
Incident History - INEOS (X = Date, Y = Severity)
INEOS cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

CARBAGAS AG / Air Liquide

INEOS
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.