Comparison Overview
City of Long Beach
City of Long Beach
415 W Ocean Blvd, Long Beach, 90802, US
Last Update: 02/04/2026
Long Beach, with a population of approximately 465,000, covers 52 square miles in Southwest Los Angeles County and is the seventh largest city in California. It has some of the best shoreline, marinas and beaches in Southern California, and a superb climate moderated by...
US Government Accountability Office
441 G Street, N.W., Washington, 20548, US
Last Update: 30/03/2026
For more information about GAO, please visit www.gao.gov. General Information The U.S. Government Accountability Office (GAO) is an independent, nonpartisan agency that works for Congress. Often called the "congressional watchdog," GAO investigates how the federal go...
Compliance Ranges Comparison
City of Long Beach
US Government Accountability Office
Benchmark & Cyber Underwriting Signals
Incidents vs Government Administration Industry Avg (This Year)
No incidents recorded for City of Long Beach in 2026.
Incidents vs Government Administration Industry Avg (This Year)
US Government Accountability Office has 3.85% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - City of Long Beach (X = Date, Y = Severity)
City of Long Beach cyber incidents detection timeline including parent company and subsidiaries.
Incident History - US Government Accountability Office (X = Date, Y = Severity)
US Government Accountability Office cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
City of Long Beach
US Government Accountability Office
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.