Comparison Overview
Town of Carolina Beach

Town of Carolina Beach
1121 Lake Park Blvd. N., Carolina Beach, 28428, US
Last Update: 08/03/2026
Carolina Beach is a coastal town of 6,000 full-time residents located in New Hanover County, 15 miles south of Wilmington, NC. The Town of Carolina Beach provides the following services for the community: Police, Fire, Building Inspections, Code Enforcement, Parks and R...

Transportation Security Administration (TSA)
601 12th Street South, Arlington, 22202, US
Last Update: 02/04/2026
The Transportation Security Administration (TSA) is a component agency of the U.S. Department of Homeland Security (DHS), committed to securing the nation’s transportation systems to ensure safe and efficient travel for all. Our mission is to protect the American people...
Compliance Ranges Comparison

Town of Carolina Beach







Transportation Security Administration (TSA)






Benchmark & Cyber Underwriting Signals
Incidents vs Government Administration Industry Avg (This Year)
Town of Carolina Beach has 30.56% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Government Administration Industry Avg (This Year)
No incidents recorded for Transportation Security Administration (TSA) in 2026.
Incident History - Town of Carolina Beach (X = Date, Y = Severity)
Town of Carolina Beach cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Transportation Security Administration (TSA) (X = Date, Y = Severity)
Transportation Security Administration (TSA) cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Town of Carolina Beach

Transportation Security Administration (TSA)
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.