What is the official website of Marubeni-Komatsu Ltd ?

The official website of Marubeni-Komatsu Ltd is https://marubeni-komatsu.co.uk.

What is Marubeni-Komatsu Ltd's cybersecurity risk score?

Marubeni-Komatsu Ltd has an AI-generated cybersecurity risk score of 746 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Marubeni-Komatsu Ltd experienced?

According to Rankiteo, Marubeni-Komatsu Ltd currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Marubeni-Komatsu Ltd been affected by any supply chain cyber incidents ?

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

Does Marubeni-Komatsu Ltd have SOC 2 Type 1 certification ?

According to Rankiteo, Marubeni-Komatsu Ltd is not certified under SOC 2 Type 1.

Does Marubeni-Komatsu Ltd have SOC 2 Type 2 certification ?

According to Rankiteo, Marubeni-Komatsu Ltd does not hold a SOC 2 Type 2 certification.

Does Marubeni-Komatsu Ltd comply with GDPR ?

According to Rankiteo, Marubeni-Komatsu Ltd is not listed as GDPR compliant.

Does Marubeni-Komatsu Ltd have PCI DSS certification ?

According to Rankiteo, Marubeni-Komatsu Ltd does not currently maintain PCI DSS compliance.

Does Marubeni-Komatsu Ltd comply with HIPAA ?

According to Rankiteo, Marubeni-Komatsu Ltd is not compliant with HIPAA regulations.

Does Marubeni-Komatsu Ltd have ISO 27001 certification ?

According to Rankiteo,Marubeni-Komatsu Ltd is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Marubeni-Komatsu Ltd operate in ?

Marubeni-Komatsu Ltd operates primarily in the Machinery Manufacturing industry.

How many employees does Marubeni-Komatsu Ltd have ?

Marubeni-Komatsu Ltd employs approximately 178 people worldwide.

Does Marubeni-Komatsu Ltd own any subsidiaries ?

Marubeni-Komatsu Ltd presently has no subsidiaries across any sectors.

How many LinkedIn followers does Marubeni-Komatsu Ltd have ?

Marubeni-Komatsu Ltd's official LinkedIn profile has approximately 19,802 followers.

What is the NAICS classification code for Marubeni-Komatsu Ltd ?

Marubeni-Komatsu Ltd is classified under the NAICS code 333, which corresponds to Machinery Manufacturing.

Does Marubeni-Komatsu Ltd have a Crunchbase profile ?

No, Marubeni-Komatsu Ltd does not have a profile on Crunchbase.

Does Marubeni-Komatsu Ltd have a LinkedIn profile ?

Yes, Marubeni-Komatsu Ltd maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/marubeni-komatsu-ltd.

How many cybersecurity incidents has Marubeni-Komatsu Ltd experienced ?

As of June 23, 2026, Rankiteo reports that Marubeni-Komatsu Ltd has experienced 2 cybersecurity incidents.

How many peer or competitor companies does Marubeni-Komatsu Ltd have ?

Marubeni-Komatsu Ltd has an estimated 8,428 peer or competitor companies worldwide.

What types of cybersecurity incidents has Marubeni-Komatsu Ltd faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Breach.

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Marubeni-Komatsu Ltd

Boost Score +25 with badge (5 left)

746

/1000

Moderate

771

/1000

Fair

Marubeni-Komatsu Ltd Vendor Cyber Rating & Cyber Score

marubeni-komatsu.co.uk

Add Your Compliance Badge

Marubeni-Komatsu Ltd is the sole distributor for new Komatsu Construction, Mining and Utility equipment in the United Kingdom. Offering a range of equipment including hydraulic excavators, wheel loaders, dump trucks and bulldozers. Parts, repairs and service, plus used equipment sales.

Marubeni-Komatsu Ltd A.I CyberSecurity Scoring

Scoring History

Marubeni-Komatsu Ltd

Marubeni-Komatsu Ltd CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Marubeni-Komatsu Lt...

Breach

11/2022

COL21151222

Marubeni-Komatsu Lt...

Breach

3/2022

COL420072725

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A.I.

Marubeni-Komatsu Ltd 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 Marubeni-Komatsu Ltd

Incidents vs Machinery Manufacturing Industry Avg (This Year)

No incidents recorded for Marubeni-Komatsu Ltd in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Marubeni-Komatsu Ltd in 2026.

Incident Types Marubeni-Komatsu Ltd vs Machinery Manufacturing Industry Avg (This Year)

No incidents recorded for Marubeni-Komatsu Ltd in 2026.

Incident History - Marubeni-Komatsu Ltd (X = Date, Y = Severity)

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SUBSIDIARY

Marubeni-Komatsu Ltd Subsidiaries

Marubeni-Komatsu Ltd

Machinery Manufacturing

Website: https://marubeni-komatsu.co.uk

Company Size: 178

Marubeni CorporationInternational Trade and Development

BJITOutsourcing and Offshoring Consulting

Maynilad Water Services, Inc.Utilities

SmartestEnergyUtilities

SmartestEnergy UKUtilities

SmartestEnergy BusinessUtilities

SmartestEnergy AustraliaUtilities

SmartestEnergy USUtilities

Magellan Aviation GroupAirlines and Aviation

Magellan ExpendablesAirlines and Aviation

Zamine PerúMining

Creekstone Farms Premium BeefFood and Beverage Manufacturing

Viacore SolutionsMining

Marubeni EuropeInternational Trade and Development

Marubeni Europe Speciality ChemicalsChemical Manufacturing

Orffa Animal Feed Manufacturing

Marubeni Middle-East and Africa Power LimitedRenewable Energy Semiconductor Manufacturing

MAXIMA MACHINERIES, INC.Wholesale Machinery

Marubeni EuropowerFinancial Services

HyBont Green Hydrogen ProjectRenewable Energy Power Generation

KiwapowerRenewable Energy Semiconductor Manufacturing

DASIAviation and Aerospace Component Manufacturing

Marubeni Citizen-Cincom Inc.Machinery Manufacturing

Columbia Grain InternationalFood and Beverage Manufacturing

AquasisIT Services and IT Consulting

Aquaman IndustryAtividades dos serviços de tecnologia da informação

Swissport Japan Ltd.Airlines and Aviation

Marubeni Brasil S.A.International Trade and Development

GasvalpoOil and Gas

Eastern FishFood and Beverage Manufacturing

Marubeni Green PowerSolar Electric Power Generation

Marubeni America CorporationFinancial Services

Marubeni Power International, Inc.Renewables & Environment

Marubeni Ventures Inc.Financial Services

Power Train Technologies Chile S.A.Mining

DOLBIX CONSULTING Inc.Business Consulting and Services

DTDS Technology Pte Ltd., Marubeni GroupSemiconductor Manufacturing

Marubeni-Komatsu Used EquipmentConstruction

Komatsu Hybrid Excavator HB215LC-2Construction

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NEWS

Marubeni-Komatsu Ltd 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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