What is the official website of STULZ GmbH ?

The official website of STULZ GmbH is http://www.stulz.com.

What is STULZ GmbH's cybersecurity risk score?

STULZ GmbH has an AI-generated cybersecurity risk score of 845 out of 1000, indicating a Good security posture according to Rankiteo's assessment.

How many security incidents has STULZ GmbH experienced?

According to Rankiteo, STULZ GmbH currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has STULZ GmbH been affected by any supply chain cyber incidents ?

According to Rankiteo, STULZ GmbH has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does STULZ GmbH have SOC 2 Type 1 certification ?

According to Rankiteo, STULZ GmbH is not certified under SOC 2 Type 1.

Does STULZ GmbH have SOC 2 Type 2 certification ?

According to Rankiteo, STULZ GmbH does not hold a SOC 2 Type 2 certification.

Does STULZ GmbH comply with GDPR ?

According to Rankiteo, STULZ GmbH is not listed as GDPR compliant.

Does STULZ GmbH have PCI DSS certification ?

According to Rankiteo, STULZ GmbH does not currently maintain PCI DSS compliance.

Does STULZ GmbH comply with HIPAA ?

According to Rankiteo, STULZ GmbH is not compliant with HIPAA regulations.

Does STULZ GmbH have ISO 27001 certification ?

According to Rankiteo,STULZ GmbH is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does STULZ GmbH operate in ?

STULZ GmbH operates primarily in the Herstellung von Industriemaschinen industry.

How many employees does STULZ GmbH have ?

STULZ GmbH employs approximately 909 people worldwide.

Does STULZ GmbH own any subsidiaries ?

STULZ GmbH presently has no subsidiaries across any sectors.

How many LinkedIn followers does STULZ GmbH have ?

STULZ GmbH's official LinkedIn profile has approximately 19,300,194,720,174,501,888 followers.

Does STULZ GmbH have a Crunchbase profile ?

No, STULZ GmbH does not have a profile on Crunchbase.

Does STULZ GmbH have a LinkedIn profile ?

Yes, STULZ GmbH maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/stulz-gmbh.

How many cybersecurity incidents has STULZ GmbH experienced ?

As of June 23, 2026, Rankiteo reports that STULZ GmbH has not experienced any cybersecurity incidents.

How many peer or competitor companies does STULZ GmbH have ?

STULZ GmbH has an estimated 11 peer or competitor companies worldwide.

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STULZ GmbH

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845

/1000

Good

870

/1000

Very Good

STULZ GmbH Vendor Cyber Rating & Cyber Score

stulz.com

Add Your Compliance Badge

Seit der Gründung im Jahre 1947 hat sich das Unternehmen STULZ zu einem weltweit führenden Systemlieferanten im Bereich Klimatechnik entwickelt. Im Jahr 2017 erzielte dieser Bereich der STULZ-Gruppe mit der Herstellung von Präzisionsklimageräten und Kaltwassersätzen, dem Vertrieb von Klima- und Befeuchtungssystemen sowie Service- und Objektmanagement einen Umsatz von rund 450 Millionen Euro. Seit 1974 erfolgt der konstante internationale Ausbau des Klimatechnikgeschäftes mit der Spezialisierung auf die Klimatisierung von Rechenzentren und Telekommunikationsanlagen. In neun Produktionsstandorten (Deutschland, Italien, USA, England, Spanien, 2 x China, Brasilien und Indien) sowie neunzehn Vertriebsgesellschaften (in Deutschland, Frankreich,

STULZ GmbH A.I CyberSecurity Scoring

Scoring History

STULZ GmbH

STULZ GmbH CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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No data available

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A.I.

STULZ GmbH Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

Actual

Prediction A

Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for STULZ GmbH

Incidents vs Herstellung von Industriemaschinen Industry Avg (This Year)

No incidents recorded for STULZ GmbH in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for STULZ GmbH in 2026.

Incident Types STULZ GmbH vs Herstellung von Industriemaschinen Industry Avg (This Year)

No incidents recorded for STULZ GmbH in 2026.

Incident History - STULZ GmbH (X = Date, Y = Severity)

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SUBSIDIARY

STULZ GmbH Subsidiaries

Parent Company

STULZ GmbH

Herstellung von Industriemaschinen

Website: http://www.stulz.com

Company Size: 909

No subsidiary data available for this company.

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STULZ GmbH Similar Companies

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NEWS

STULZ GmbH CyberSecurity News

Latest updates, reports, and threat intel affecting the global network.

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-54236

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, the fix for CVE-2026-22778, which introduced a sanitize_message helper that strips object-repr memory addresses from error messages before they reach the client, is incomplete: several response paths echo str(exc) directly to clients without calling sanitize_message. The unsanitized sites include the Anthropic API router in vllm/entrypoints/anthropic/api_router.py (the POST /v1/messages and POST /v1/messages/count_tokens handlers), the Server-Sent Events streaming converter in vllm/entrypoints/anthropic/serving.py, and the realtime speech-to-text WebSocket in vllm/entrypoints/speech_to_text/realtime/connection.py. These paths catch the exception inside the route coroutine and construct the JSONResponse themselves, bypassing the sanitizing global FastAPI exception handler, and WebSocket frames do not traverse that handler chain at all. Using the same primitive as the parent issue, an unauthenticated attacker can send malformed image bytes through the Anthropic Messages API image content parts so that PIL.Image.open raises an UnidentifiedImageError whose message contains the BytesIO object repr, leaking the heap memory address verbatim in the error.message field of the response body. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 5.3)

cvss3

Base Score: 5.3

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Impact Score

1.4

Exploitability

3.9

REFERENCES

CVE-2026-54235

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: )

cvss4

Base Score: 6.9

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

Exploitability

REFERENCES

CVE-2026-54233

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output. A 25MB OPUS file expands to ~14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

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

REFERENCES

CVE-2026-54232

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 8.8)

cvss3

Base Score: 8.8

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Impact Score

5.9

Exploitability

2.8

REFERENCES

https://github.com/vllm-project/vllm/security/advisories/GHSA-jrf6-vqxq-pjv2

CVE-2026-53923

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: )

cvss4

Base Score: 5.3

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

Exploitability

REFERENCES

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