What is the official website of Cat® Lift Trucks EAME ?

The official website of Cat® Lift Trucks EAME is https://www.catlifttruck.com/.

What is Cat® Lift Trucks EAME's cybersecurity risk score?

Cat® Lift Trucks EAME has an AI-generated cybersecurity risk score of 741 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Cat® Lift Trucks EAME experienced?

According to Rankiteo, Cat® Lift Trucks EAME currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Cat® Lift Trucks EAME been affected by any supply chain cyber incidents ?

According to Rankiteo, Cat® Lift Trucks EAME has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does Cat® Lift Trucks EAME have SOC 2 Type 1 certification ?

According to Rankiteo, Cat® Lift Trucks EAME is not certified under SOC 2 Type 1.

Does Cat® Lift Trucks EAME have SOC 2 Type 2 certification ?

According to Rankiteo, Cat® Lift Trucks EAME does not hold a SOC 2 Type 2 certification.

Does Cat® Lift Trucks EAME comply with GDPR ?

According to Rankiteo, Cat® Lift Trucks EAME is not listed as GDPR compliant.

Does Cat® Lift Trucks EAME have PCI DSS certification ?

According to Rankiteo, Cat® Lift Trucks EAME does not currently maintain PCI DSS compliance.

Does Cat® Lift Trucks EAME comply with HIPAA ?

According to Rankiteo, Cat® Lift Trucks EAME is not compliant with HIPAA regulations.

Does Cat® Lift Trucks EAME have ISO 27001 certification ?

According to Rankiteo,Cat® Lift Trucks EAME is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Cat® Lift Trucks EAME operate in ?

Cat® Lift Trucks EAME operates primarily in the Machinery Manufacturing industry.

How many employees does Cat® Lift Trucks EAME have ?

Cat® Lift Trucks EAME employs approximately 2 people worldwide.

Does Cat® Lift Trucks EAME own any subsidiaries ?

Cat® Lift Trucks EAME presently has no subsidiaries across any sectors.

How many LinkedIn followers does Cat® Lift Trucks EAME have ?

Cat® Lift Trucks EAME's official LinkedIn profile has approximately 2,649 followers.

What is the NAICS classification code for Cat® Lift Trucks EAME ?

Cat® Lift Trucks EAME is classified under the NAICS code 333, which corresponds to Machinery Manufacturing.

Does Cat® Lift Trucks EAME have a Crunchbase profile ?

No, Cat® Lift Trucks EAME does not have a profile on Crunchbase.

Does Cat® Lift Trucks EAME have a LinkedIn profile ?

Yes, Cat® Lift Trucks EAME maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/cat-lift-trucks-eame.

How many cybersecurity incidents has Cat® Lift Trucks EAME experienced ?

As of June 23, 2026, Rankiteo reports that Cat® Lift Trucks EAME has not experienced any cybersecurity incidents.

How many peer or competitor companies does Cat® Lift Trucks EAME have ?

Cat® Lift Trucks EAME has an estimated 8,428 peer or competitor companies worldwide.

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CLTE

Boost Score +25 with badge (5 left)

741

/1000

Moderate

766

/1000

Fair

Cat® Lift Trucks EAME Vendor Cyber Rating & Cyber Score

catlifttruck.com

Add Your Compliance Badge

Cat® Lift Trucks is one of the largest manufacturers of materials handling products in the world. Whether electric, I/C engine or warehouse, Cat® Lift Trucks has an economic materials handling solution to meet any of today's materials handling challenges. The association with forklift trucks began with Caterpillar Inc.'s acquisition of Towmotor Corporation in 1965. Since that time, our involvements in the field of materials handling has been characterised by a tradition of innovation and excellence. Cat® Lift Trucks product quality and service-oriented reputation has become a standard of reference throughout the materials handling industry. Who we are Over eighty years ago, Lester M. Sears decided to adapt a farm tractor for industrial

CLTE A.I CyberSecurity Scoring

Scoring History

CLTE

Cat® Lift Trucks EAME CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

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Impact

Seen

Blog Details

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Incident Details

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No data available

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A.I.

CLTE 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

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Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

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Underwriter Stats for CLTE

Incidents vs Machinery Manufacturing Industry Avg (This Year)

No incidents recorded for Cat® Lift Trucks EAME in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Cat® Lift Trucks EAME in 2026.

Incident Types CLTE vs Machinery Manufacturing Industry Avg (This Year)

No incidents recorded for Cat® Lift Trucks EAME in 2026.

Incident History - CLTE (X = Date, Y = Severity)

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SUBSIDIARY

Cat® Lift Trucks EAME Subsidiaries

CLTE

Machinery Manufacturing

Website: https://www.catlifttruck.com/

Company Size: 2

Mitsubishi Logisnext EuropeAutomation Machinery Manufacturing

Mitsubishi Heavy IndustriesIndustrial Machinery Manufacturing

Primetals TechnologiesIndustrial Machinery Manufacturing

Mitsubishi PowerOil and Gas

Mitsubishi Power AmericasRenewable Energy Semiconductor Manufacturing

MHI Hydrogen InfrastructureRenewable Energy Power Generation

Mitsubishi Power EuropeOil and Gas

Mitsubishi Heavy Industries Compressor International (MCO-I)Machinery Manufacturing

Turboden S.p.A.Renewable Energy Semiconductor Manufacturing

Mitsubishi Heavy Industries Air-Conditioning EuropeMachinery Manufacturing

Mitsubishi Turbocharger and Engine EuropeIndustrial Machinery Manufacturing

Mitsubishi EngineProductie

Mitsubishi Heavy Industries - System Maintenance Doha Metroالإصلاح والصيانة

Mitsubishi Forklift Trucks Asia PacificMotor Vehicle Manufacturing

MHI Shared Services Americas, Inc.Oil and Gas

MHI Equipment Alsace S.A.SMachinery Manufacturing

Diamond WTG Engineering & Services, Inc.Services for Renewable Energy

Crystal Mover Services, Inc.Transportation/Trucking/Railroad

Southeast Broach CompanyMachinery Manufacturing

Mitsubishi Forklift Trucks EuropeMachinery Manufacturing

Mitsubishi Logisnext Europe OyMachinery Manufacturing

UniCarriers Europe (inactive)Industrial Machinery Manufacturing

TCM ForkliftsTruck Transportation

Rocla AGV SolutionsAutomation Machinery Manufacturing

Mitsubishi Forklift Trucks - Logisnext GermanyTransportation, Logistics, Supply Chain and Storage

Mitsubishi Forklift Trucks - Logisnext BeneluxTransportation, Logistics, Supply Chain and Storage

Mitsubishi Forklift Trucks - Logisnext FranceMachinery Manufacturing

Mitsubishi Forklift Trucks - Logisnext Finland OyTransportation, Logistics, Supply Chain and Storage

Mitsubishi Forklift Trucks - Logisnext SwedenMachinery Manufacturing

Mitsubishi Forklift Trucks - Logisnext Denmark A/STransportation, Logistics, Supply Chain and Storage

Logisnext UK LtdManufacturing

Mitsubishi Forklift Trucks EspañaMachinery Manufacturing

TCM Forklifts EspañaMachinery Manufacturing

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NEWS

Cat® Lift Trucks EAME 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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