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Comparison Overview

Federal Office for Buildings and Logistics FOBLFederal Office for Buildings and Logistics FOBL
VS
Mahindra GroupMahindra Group
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

View Profile
746/1000Moderate

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...

NAICS:92111
NAICS Definition:Executive Offices
Employees:287
Subsidiaries:68
12-month incidents
0
Known data breaches
0
Attack type number
0
Mahindra Group

Mahindra Group

Worli, Mumbai, 400018, IN

Last Update: 02/04/2026

View Profile
Between 800 and 849
http://www.mahindra.com
817/1000Good

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...

NAICS:92111
NAICS Definition:Executive Offices
Employees:232,062
Subsidiaries:19
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
Federal Office for Buildings and Logistics FOBL

Federal Office for Buildings and Logistics FOBL

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA
Mahindra Group

Mahindra Group

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA

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

Incidents vs Executive Offices Industry Avg (This Year)

No incidents recorded for Mahindra Group in 2026.

Incidents

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.

No timeline data available
R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Incident History - Mahindra Group (X = Date, Y = Severity)

Mahindra Group cyber incidents detection timeline including parent company and subsidiaries.

R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Notable Incidents

Last Cyber / HR Incidents / Global...
Federal Office for Buildings and Logistics FOBL

Federal Office for Buildings and Logistics FOBL

Incidents
No explicit notable incidents reported.
Mahindra Group

Mahindra Group

Incidents
No explicit notable incidents reported.

FAQ

Between Federal Office for Buildings and Logistics FOBL company and Mahindra Group company, which one has the best AI Cybersecurity Score ?
Between Federal Office for Buildings and Logistics FOBL company and Mahindra Group company, which one has experienced more cyber incidents in the past ?
Between Federal Office for Buildings and Logistics FOBL company and Mahindra Group company, which one has experienced more cyber incidents this year ?
Between Federal Office for Buildings and Logistics FOBL company and Mahindra Group company, which one has experienced at least one ransomware attack ?
Between Federal Office for Buildings and Logistics FOBL company and Mahindra Group company, which one has experienced at least one data breach ?
Between Federal Office for Buildings and Logistics FOBL company and Mahindra Group company, which one has experienced at least one targeted cyberattack ?
Between Federal Office for Buildings and Logistics FOBL company and Mahindra Group company, which one has experienced at least one vulnerability ?
Between Federal Office for Buildings and Logistics FOBL company and Mahindra Group company, which one holds the most compliance certifications ?
Between Federal Office for Buildings and Logistics FOBL company and Mahindra Group company, which one holds the fewest compliance certifications ?
Between Federal Office for Buildings and Logistics FOBL company and Mahindra Group company, which one has the most subsidiaries ?
Between Federal Office for Buildings and Logistics FOBL company and Mahindra Group company, which one has the largest number of employees ?
Between Federal Office for Buildings and Logistics FOBL and Mahindra Group, which company holds both SOC 2 Type 1 certifications ?
Between Federal Office for Buildings and Logistics FOBL and Mahindra Group, which company holds both SOC 2 Type 2 certifications ?
Which company is ISO 27001 certified - Federal Office for Buildings and Logistics FOBL or Mahindra Group ?
Which company is PCI DSS compliant - Federal Office for Buildings and Logistics FOBL or Mahindra Group ?
Between Federal Office for Buildings and Logistics FOBL and Mahindra Group, which company complies with HIPAA regulations for healthcare data ?
Between Federal Office for Buildings and Logistics FOBL and Mahindra Group, which company complies with GDPR requirements ?

Latest Global CVEs

CVE-2026-63261
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8
CVE-2026-63260
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8
CVE-2026-63259
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 4.3)
CVSS3
Base Score: 4.3
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.8
CVE-2026-63145
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 4.3)
CVSS3
Base Score: 4.3
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.8
CVE-2026-63144
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8