Comparison Overview
Atalanta BC Store

Atalanta BC Store
N/A
Last Update: 20/01/2026
The Atalanta Stores are the official retail stores of the blue & black football club, a veritable “paradise” for Atalanta fans where they can indulge in the purchase of exclusively original products, dedicated to their team. Customers are spoiled for choice: from the of...

Aditya Birla Fashion and Retail Ltd.
Piramal Agastya Corporate Park, Building 'A', 4th and 5th Floor, Unit No. 401, 403, 501, 502, L.B.S. Road, Kurla, Mumbai, Maharashtra, IN, 400070
Last Update: 31/03/2026
Aditya Birla Fashion and Retail Limited (ABFRL), part of the Aditya Birla Group, is India’s leading fashion powerhouse, offering a distinguished portfolio of renowned brands and retail formats, catering to multiple high-growth segments. As of March 31, 2025, the Compan...
Compliance Ranges Comparison

Atalanta BC Store







Aditya Birla Fashion and Retail Ltd.






Benchmark & Cyber Underwriting Signals
Incidents vs Retail Apparel and Fashion Industry Avg (This Year)
No incidents recorded for Atalanta BC Store in 2026.
Incidents vs Retail Apparel and Fashion Industry Avg (This Year)
No incidents recorded for Aditya Birla Fashion and Retail Ltd. in 2026.
Incident History - Atalanta BC Store (X = Date, Y = Severity)
Atalanta BC Store cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Aditya Birla Fashion and Retail Ltd. (X = Date, Y = Severity)
Aditya Birla Fashion and Retail Ltd. cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Atalanta BC Store

Aditya Birla Fashion and Retail Ltd.
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.