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Comparison Overview

GF Piping Systems ÖsterreichGF Piping Systems Österreich
VS
FLSmidthFLSmidth
GF Piping Systems Österreich

GF Piping Systems Österreich

Hoferstraße 1, Loosdorf, Lower Austria, AT, 3382

Last Update: 20/02/2026

View Profile
Between 700 and 749
https://www.gfps.com/at
743/1000Moderate

GF is the leading flow solutions provider for industry and infrastructure, enabling the safe and sustainable transport of fluids. The division ensures process quality with industry-leading, leakage-free, easy-to-install, and maintain flow solutions and engineering servi...

NAICS:3332
NAICS Definition:Industrial Machinery Manufacturing
Employees:13
Subsidiaries:0
12-month incidents
0
Known data breaches
0
Attack type number
0
FLSmidth

FLSmidth

Vigerslev Allé 77, Copenhagen, Valby, DK, DK-2500

Last Update: 01/04/2026

View Profile
Between 750 and 799
http://www.fls.com
760/1000Fair

FLSmidth is a full flowsheet technology and service supplier to the global mining industry. We enable our customers to improve performance, lower operating costs and reduce environmental impact. MissionZero is our sustainability ambition towards zero emissions in mining...

NAICS:3332
NAICS Definition:Industrial Machinery Manufacturing
Employees:13,187
Subsidiaries:2
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
GF Piping Systems Österreich

GF Piping Systems Österreich

-
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
FLSmidth

FLSmidth

-
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 Industrial Machinery Manufacturing Industry Avg (This Year)

No incidents recorded for GF Piping Systems Österreich in 2026.

Incidents

Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)

No incidents recorded for FLSmidth in 2026.

Incidents

Incident History - GF Piping Systems Österreich (X = Date, Y = Severity)

GF Piping Systems Österreich 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 - FLSmidth (X = Date, Y = Severity)

FLSmidth cyber incidents detection timeline including parent company and subsidiaries.

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

Notable Incidents

Last Cyber / HR Incidents / Global...
GF Piping Systems Österreich

GF Piping Systems Österreich

Incidents
No explicit notable incidents reported.
FLSmidth

FLSmidth

Incidents
No explicit notable incidents reported.

FAQ

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