Comparison Overview
Clone Screening | Molecular Devices

Clone Screening | Molecular Devices
N/A
Last Update: 28/02/2026
Our solutions for antibody discovery and cell line development provide dedicated, scalable, and easy-to-use products for establishing clonal populations. The systems feature a selection of options and models to address your specific research including multiple imaging m...

Charles River Laboratories
251 Ballardvale Street, Wilmington, Massachusetts, US, 01887
Last Update: 31/03/2026
At Charles River, we are guided by our strong purpose—to create healthier lives—which centers around the patients who rely on the therapeutics we help to develop, the animals in our care, to our planet, and to the passionate and skilled people who are at the heart of ou...
Compliance Ranges Comparison

Clone Screening | Molecular Devices







Charles River Laboratories






Benchmark & Cyber Underwriting Signals
Incidents vs Biotechnology Research Industry Avg (This Year)
No incidents recorded for Clone Screening | Molecular Devices in 2026.
Incidents vs Biotechnology Research Industry Avg (This Year)
No incidents recorded for Charles River Laboratories in 2026.
Incident History - Clone Screening | Molecular Devices (X = Date, Y = Severity)
Clone Screening | Molecular Devices cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Charles River Laboratories (X = Date, Y = Severity)
Charles River Laboratories cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Clone Screening | Molecular Devices

Charles River Laboratories
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.