Comparison Overview
TDK InvenSense

TDK InvenSense
1745 Technology Dr. #200, San Jose, CA, 95110, US
Last Update: 30/12/2025
InvenSense, a TDK Group company, is a world-leading provider of sensor solutions, including MEMS and magnetic sensors for consumer, industrial, and automotive applications. InvenSense MEMS sensors are known to be best-in-class for reasons that include high performance a...

STMicroelectronics
39, Chemin du Champ des Filles, C. P. 21, Geneva, Switzerland, CH, CH 1228 Plan-Les-Ouates
Last Update: 06/07/2026
ST is a global semiconductor leader delivering intelligent and energy-efficient products and solutions that power the electronics at the heart of everyday life. ST’s products are found everywhere today, and together with our customers, we are enabling smarter driving an...
Compliance Ranges Comparison

TDK InvenSense







STMicroelectronics






Benchmark & Cyber Underwriting Signals
Incidents vs Semiconductor Manufacturing Industry Avg (This Year)
No incidents recorded for TDK InvenSense in 2026.
Incidents vs Semiconductor Manufacturing Industry Avg (This Year)
STMicroelectronics has 92.31% more incidents than the average of all companies with at least one recorded incident.
Incident History - TDK InvenSense (X = Date, Y = Severity)
TDK InvenSense cyber incidents detection timeline including parent company and subsidiaries.
Incident History - STMicroelectronics (X = Date, Y = Severity)
STMicroelectronics cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

TDK InvenSense

STMicroelectronics
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.