What is the official website of SAF-HOLLAND Inc. ?

The official website of SAF-HOLLAND Inc. is http://www.safholland.com.

What is SAF-HOLLAND Inc.'s cybersecurity risk score?

SAF-HOLLAND Inc. has an AI-generated cybersecurity risk score of 753 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has SAF-HOLLAND Inc. experienced?

According to Rankiteo, SAF-HOLLAND Inc. currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has SAF-HOLLAND Inc. been affected by any supply chain cyber incidents ?

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

Does SAF-HOLLAND Inc. have SOC 2 Type 1 certification ?

According to Rankiteo, SAF-HOLLAND Inc. is not certified under SOC 2 Type 1.

Does SAF-HOLLAND Inc. have SOC 2 Type 2 certification ?

According to Rankiteo, SAF-HOLLAND Inc. does not hold a SOC 2 Type 2 certification.

Does SAF-HOLLAND Inc. comply with GDPR ?

According to Rankiteo, SAF-HOLLAND Inc. is not listed as GDPR compliant.

Does SAF-HOLLAND Inc. have PCI DSS certification ?

According to Rankiteo, SAF-HOLLAND Inc. does not currently maintain PCI DSS compliance.

Does SAF-HOLLAND Inc. comply with HIPAA ?

According to Rankiteo, SAF-HOLLAND Inc. is not compliant with HIPAA regulations.

Does SAF-HOLLAND Inc. have ISO 27001 certification ?

According to Rankiteo,SAF-HOLLAND Inc. is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does SAF-HOLLAND Inc. operate in ?

SAF-HOLLAND Inc. operates primarily in the Truck Transportation industry.

How many employees does SAF-HOLLAND Inc. have ?

SAF-HOLLAND Inc. employs approximately 916 people worldwide.

Does SAF-HOLLAND Inc. own any subsidiaries ?

SAF-HOLLAND Inc. presently has no subsidiaries across any sectors.

How many LinkedIn followers does SAF-HOLLAND Inc. have ?

SAF-HOLLAND Inc.'s official LinkedIn profile has approximately 13,996 followers.

What is the NAICS classification code for SAF-HOLLAND Inc. ?

SAF-HOLLAND Inc. is classified under the NAICS code 484, which corresponds to Truck Transportation.

Does SAF-HOLLAND Inc. have a Crunchbase profile ?

No, SAF-HOLLAND Inc. does not have a profile on Crunchbase.

Does SAF-HOLLAND Inc. have a LinkedIn profile ?

Yes, SAF-HOLLAND Inc. maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/safholland.

How many cybersecurity incidents has SAF-HOLLAND Inc. experienced ?

As of June 23, 2026, Rankiteo reports that SAF-HOLLAND Inc. has not experienced any cybersecurity incidents.

How many peer or competitor companies does SAF-HOLLAND Inc. have ?

SAF-HOLLAND Inc. has an estimated 5,672 peer or competitor companies worldwide.

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SAF-HOLLAND Inc.

Boost Score +25 with badge (5 left)

753

/1000

Fair

778

/1000

Fair

SAF-HOLLAND Inc. Vendor Cyber Rating & Cyber Score

safholland.com

Add Your Compliance Badge

SAF-HOLLAND Inc. is one of the leading global manufacturers and suppliers of high-quality systems and components for heavy-duty commercial vehicles (trucks and trailers). SAF-HOLLAND is well positioned around the world in all important growth markets and has a broad range of high-quality products. Brands Include: SAF - Trailer Axles and Suspension Systems HOLLAND - Coupling and Lifting Technologies HALDEX - Brake Products and Air Valve Systems NEWAY - Powered Vehicle Air Suspensions SAF-HOLLAND Original Parts - Quality Aftermarket Parts HALDEX Original Parts - Quality Aftermarket Parts Midland - All Make Aftermarket Products Haldex REMAN - Quality Reman Products Over 5000 employees on four continents contribute to the success of

SAF-HOLLAND Inc. A.I CyberSecurity Scoring

Scoring History

SAF-HOLLAND Inc.

SAF-HOLLAND Inc. 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.

SAF-HOLLAND Inc. 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 SAF-HOLLAND Inc.

Incidents vs Truck Transportation Industry Avg (This Year)

No incidents recorded for SAF-HOLLAND Inc. in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for SAF-HOLLAND Inc. in 2026.

Incident Types SAF-HOLLAND Inc. vs Truck Transportation Industry Avg (This Year)

No incidents recorded for SAF-HOLLAND Inc. in 2026.

Incident History - SAF-HOLLAND Inc. (X = Date, Y = Severity)

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SUBSIDIARY

SAF-HOLLAND Inc. Subsidiaries

SAF-HOLLAND Inc.

Truck Transportation

Website: http://www.safholland.com

Company Size: 916

SAF-HOLLAND MexicoAutomación industrial

SAF-HOLLAND CANADATruck Transportation

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NEWS

SAF-HOLLAND Inc. CyberSecurity News

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

August 27, 2025 07:00 AM

SAF-Holland SE (ETR:SFQ) is largely controlled by institutional shareholders who own 76% of the company

Key Insights Given the large stake in the stock by institutions, SAF-Holland's stock price might be vulnerable to their...

Read Article

August 28, 2024 07:00 AM

SAF Holland opens R&D center in India

The commercial vehicle supplier SAF Holland also wants to develop in India in the future - especially software.

Read Article

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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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