Comparison Overview
AIIB Complaints-resolution, Evaluation and Integrity Unit (CEIU)

AIIB Complaints-resolution, Evaluation and Integrity Unit (CEIU)
Tower A, Asia Financial Center, No. 1 Tianchen East Road, Chaoyang District, Beijing, 100101, CN
Last Update: 14/11/2025
The Complaints-resolution, Evaluation and Integrity Unit (CEIU) was established in 2016 as an independent unit within AIIB and is part of AIIB’s Oversight Mechanism created by its Board of Directors under Article 26 (iv) of the AIIB Articles of Agreement. CEIU is led by...

Intertek
33 Cavendish Square, London, W1G 0PS, GB
Last Update: 01/04/2026
Intertek is a leading Total Quality Assurance provider to industries worldwide. Our network of more than 1,000 laboratories and offices in more than 100 countries, delivers innovative and bespoke Assurance, Testing, Inspection and Certification solutions for our custom...
Compliance Ranges Comparison

AIIB Complaints-resolution, Evaluation and Integrity Unit (CEIU)







Intertek






Benchmark & Cyber Underwriting Signals
Incidents vs International Trade and Development Industry Avg (This Year)
No incidents recorded for AIIB Complaints-resolution, Evaluation and Integrity Unit (CEIU) in 2026.
Incidents vs International Trade and Development Industry Avg (This Year)
No incidents recorded for Intertek in 2026.
Incident History - AIIB Complaints-resolution, Evaluation and Integrity Unit (CEIU) (X = Date, Y = Severity)
AIIB Complaints-resolution, Evaluation and Integrity Unit (CEIU) cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Intertek (X = Date, Y = Severity)
Intertek cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

AIIB Complaints-resolution, Evaluation and Integrity Unit (CEIU)

Intertek
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.