Comparison Overview
UNCF Teaching + Learning Center

UNCF Teaching + Learning Center
1805 7th St NW, Washington, 20001, US
Last Update: 19/01/2026
The Teaching and Learning Center (TLC) was established in 2021 to address the need for more robust and intentional training and development opportunities for staff and faculty at HBCUs and PBIs. The TLC intends to support participating HBCUs and PBIs in improving the qu...

Goodwill Industries International
15810 Indianola Dr., Rockville, 20855, US
Last Update: 01/04/2026
Goodwill Industries is all about people working. We are North America’s leading nonprofit provider of education, training, and career services for people with disadvantages, such as welfare dependency, homelessness, and lack of education or work experience, as well as ...
Compliance Ranges Comparison

UNCF Teaching + Learning Center







Goodwill Industries International






Benchmark & Cyber Underwriting Signals
Incidents vs Non-profit Organizations Industry Avg (This Year)
No incidents recorded for UNCF Teaching + Learning Center in 2026.
Incidents vs Non-profit Organizations Industry Avg (This Year)
No incidents recorded for Goodwill Industries International in 2026.
Incident History - UNCF Teaching + Learning Center (X = Date, Y = Severity)
UNCF Teaching + Learning Center cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Goodwill Industries International (X = Date, Y = Severity)
Goodwill Industries International cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

UNCF Teaching + Learning Center

Goodwill Industries International
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.