Comparison Overview
Rodan + Fields

Rodan + Fields
60 Spear Street, San Francisco, CA, US, 94105
Last Update: 04/04/2026
We are Rodan + Fields, founded by Stanford-trained dermatologists with a mission to revolutionize skincare for women everywhere. Our products are dermatologist-developed and inspired by Women-Backed Science™, delivering real, visible results. We understand what works f...

Stanley Black & Decker, Inc.
1000 Stanley Drive, New Britain, CT, US, 06053
Last Update: 01/04/2026
For the builders and protectors, for the makers and explorers, for those shaping and reshaping our world through hard work and inspiration, Stanley Black & Decker provides the tools and innovative solutions you can trust to get the job done—and we have since 1843. You ...
Compliance Ranges Comparison

Rodan + Fields







Stanley Black & Decker, Inc.






Benchmark & Cyber Underwriting Signals
Incidents vs Manufacturing Industry Avg (This Year)
No incidents recorded for Rodan + Fields in 2026.
Incidents vs Manufacturing Industry Avg (This Year)
No incidents recorded for Stanley Black & Decker, Inc. in 2026.
Incident History - Rodan + Fields (X = Date, Y = Severity)
Rodan + Fields cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Stanley Black & Decker, Inc. (X = Date, Y = Severity)
Stanley Black & Decker, Inc. cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Rodan + Fields

Stanley Black & Decker, Inc.
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.