Comparison Overview
PEI International Student Program

PEI International Student Program
85 Fitzroy St, Charlottetown, C1A 1R6, CA
Last Update: 21/03/2026
The Prince Edward Island International Student Program (PEIISP) was created to deliver K-12 public education opportunities to the global community through the Department of Education and Lifelong Learning. International students who reside outside of Canada may apply to...

Prince George's County Public Schools
14201 School Lane, Upper Marlboro, MD, US, 20772
Last Update: 30/03/2026
Prince George's County Public Schools (PGCPS), one of the nation's 25 largest school districts, has 200 schools and centers, more than 133,000 students and 22,000 employees. The school system serves a diverse student population from urban, suburban and rural communities...
Compliance Ranges Comparison

PEI International Student Program







Prince George's County Public Schools






Benchmark & Cyber Underwriting Signals
Incidents vs Primary and Secondary Education Industry Avg (This Year)
No incidents recorded for PEI International Student Program in 2026.
Incidents vs Primary and Secondary Education Industry Avg (This Year)
No incidents recorded for Prince George's County Public Schools in 2026.
Incident History - PEI International Student Program (X = Date, Y = Severity)
PEI International Student Program cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Prince George's County Public Schools (X = Date, Y = Severity)
Prince George's County Public Schools cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

PEI International Student Program

Prince George's County Public Schools
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.