Comparison Overview
BinDawood Holding

BinDawood Holding
Madinah Road, Jeddah, 51190, SA
Last Update: 31/05/2026
BinDawood Holding (Listed at Saudi Exchange in 2020 under the ticker of 4161), a retail conglomerate that focuses on information technology and retail solutions, it capitalizes on investment opportunities, driving long-term growth. Driven by a vision for sustained growt...

Marks and Spencer
Waterside House, London, W2 1NW, GB
Last Update: 16/07/2026
At M&S, we're dedicated to being the most trusted retailer, prioritising quality and delivering value. Every day, we bring the magic of M&S to our customers, whenever, wherever and however they want to shop with us. For over a century, we've set the standard, doing the ...
Compliance Ranges Comparison

BinDawood Holding







Marks and Spencer






Benchmark & Cyber Underwriting Signals
Incidents vs Retail Industry Avg (This Year)
BinDawood Holding has 44.75% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Retail Industry Avg (This Year)
Marks and Spencer has 471.43% more incidents than the average of all companies with at least one recorded incident.
Incident History - BinDawood Holding (X = Date, Y = Severity)
BinDawood Holding cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Marks and Spencer (X = Date, Y = Severity)
Marks and Spencer cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

BinDawood Holding

Marks and Spencer
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.