Comparison Overview
Federal Office for Buildings and Logistics FOBL

Federal Office for Buildings and Logistics FOBL
Fellerstrasse 21, Bern, BE, 3003, CH
Last Update: 04/12/2025
The FOBL is part of the Department of Finance and provides services for the entire civil federal administration as well as for the public. The Office is divided into the areas of "Buildings, "Logistics", "Official business, procurement policy, communication" and "Manage...

Mahindra Group
Worli, Mumbai, 400018, IN
Last Update: 02/04/2026
Many Companies. One Mahindra. Founded in 1945, the Mahindra Group is one of the largest and most admired multinational federations of companies, with 324,000+ employees across 100+ countries. It enjoys a leadership position in farm equipment, utility vehicles, informat...
Compliance Ranges Comparison

Federal Office for Buildings and Logistics FOBL







Mahindra Group






Benchmark & Cyber Underwriting Signals
Incidents vs Executive Offices Industry Avg (This Year)
No incidents recorded for Federal Office for Buildings and Logistics FOBL in 2026.
Incidents vs Executive Offices Industry Avg (This Year)
No incidents recorded for Mahindra Group in 2026.
Incident History - Federal Office for Buildings and Logistics FOBL (X = Date, Y = Severity)
Federal Office for Buildings and Logistics FOBL cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Mahindra Group (X = Date, Y = Severity)
Mahindra Group cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Federal Office for Buildings and Logistics FOBL

Mahindra Group
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.