Comparison Overview
Paramount

Paramount
New York, US
Last Update: 27/06/2026
Paramount is a leading media and entertainment company that creates premium content and experiences for audiences worldwide. Driven by iconic studios, networks and streaming services, Paramount's portfolio of consumer brands includes CBS, Showtime Networks, Paramount Pi...

Six Flags Entertainment Corporation
8701 Red Oak Blvd, Charlotte, 28217, US
Last Update: 02/04/2026
Six Flags Entertainment Corporation (NYSE: FUN) is North America’s largest regional amusement-resort operator with 26 amusement parks, 15 water parks and 9 resort properties across 16 states in the U.S., Canada and Mexico. Focused on its purpose of making people happy, ...
Compliance Ranges Comparison

Paramount







Six Flags Entertainment Corporation






Benchmark & Cyber Underwriting Signals
Incidents vs Entertainment Providers Industry Avg (This Year)
No incidents recorded for Paramount in 2026.
Incidents vs Entertainment Providers Industry Avg (This Year)
No incidents recorded for Six Flags Entertainment Corporation in 2026.
Incident History - Paramount (X = Date, Y = Severity)
Paramount cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Six Flags Entertainment Corporation (X = Date, Y = Severity)
Six Flags Entertainment Corporation cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Paramount

Six Flags Entertainment Corporation
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.