Comparison Overview
Gibson Homewares

Gibson Homewares
2410 Yates Ave, Commerce, California, undefined, US
Last Update: 02/04/2026
Gibson Homewares is a leading producer of housewares products based in Los Angeles. We manufacture products for home brands like Gibson Home, Gibson Elite, Martha Stewart and Babish. Our products can be found at major retailers online and in store. Central to our succ...

Colgate-Palmolive
300 Park Ave, New York, New York, US, 10022
Last Update: 29/03/2026
Make More Smiles. We are Colgate-Palmolive, a caring, innovative growth company that is reimagining a healthier future for all people, their pets and our planet. For over 200 years, we've poured our care into creating a future where everyone has more reasons to smile. C...
Compliance Ranges Comparison

Gibson Homewares







Colgate-Palmolive






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

Gibson Homewares

Colgate-Palmolive
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.