Comparison Overview
Rimi Baltic Group

Rimi Baltic Group
A. Deglava street 161, Riga, undefined, LV-1021, LV
Last Update: 26/02/2026
Rimi Baltic is one of the leading retailers in Baltic States and is represented in Estonia, Latvia and Lithuania. We are a part of ICA Gruppen - leading retail organization in the Nordic region with more than 270 stores and 12 000 employees. There are more than 300 di...

Ace Hardware Corporation
2915 Jorie Blvd, Oak Brook, Illinois, US, 60523
Last Update: 29/03/2026
Ace Hardware is the largest retailer-owned hardware cooperative in the world with over 5,800 locally owned and operated hardware stores in approximately 70 countries. Headquartered in Oak Brook, Ill., Ace and its subsidiaries operate an expansive network of distributio...
Compliance Ranges Comparison

Rimi Baltic Group







Ace Hardware Corporation






Benchmark & Cyber Underwriting Signals
Incidents vs Retail Industry Avg (This Year)
No incidents recorded for Rimi Baltic Group in 2026.
Incidents vs Retail Industry Avg (This Year)
No incidents recorded for Ace Hardware Corporation in 2026.
Incident History - Rimi Baltic Group (X = Date, Y = Severity)
Rimi Baltic Group cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Ace Hardware Corporation (X = Date, Y = Severity)
Ace Hardware Corporation cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Rimi Baltic Group

Ace Hardware Corporation
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.