Comparison Overview
Singapore Economic Development Board (EDB)

Singapore Economic Development Board (EDB)
250 North Bridge Road, #28-00, Singapore, undefined, 179101, SG
Last Update: 19/03/2026
The Singapore Economic Development Board (EDB), the lead government agency under the Ministry of Trade and Industry, is responsible for strategies that enhance Singapore’s position as a global centre for business, innovation, and talent. Our mission is to create sustain...

US Environmental Protection Agency (EPA)
1200 Pennsylvania Ave. N.W., Washington, 20004, US
Last Update: 31/03/2026
U.S. Environmental Protection Agency’s (EPA) mission is to protect human health and the environment. EPA works to ensure that: - Americans have clean air, land and water; - National efforts to reduce environmental risks are based on the best available scientific inform...
Compliance Ranges Comparison

Singapore Economic Development Board (EDB)







US Environmental Protection Agency (EPA)






Benchmark & Cyber Underwriting Signals
Incidents vs Government Administration Industry Avg (This Year)
No incidents recorded for Singapore Economic Development Board (EDB) in 2026.
Incidents vs Government Administration Industry Avg (This Year)
No incidents recorded for US Environmental Protection Agency (EPA) in 2026.
Incident History - Singapore Economic Development Board (EDB) (X = Date, Y = Severity)
Singapore Economic Development Board (EDB) cyber incidents detection timeline including parent company and subsidiaries.
Incident History - US Environmental Protection Agency (EPA) (X = Date, Y = Severity)
US Environmental Protection Agency (EPA) cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Singapore Economic Development Board (EDB)

US Environmental Protection Agency (EPA)
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.