What is the official website of DOLBIX CONSULTING Inc. ?

The official website of DOLBIX CONSULTING Inc. is https://www.dolbix.com/.

What is DOLBIX CONSULTING Inc.'s cybersecurity risk score?

DOLBIX CONSULTING 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 DOLBIX CONSULTING Inc. experienced?

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

Has DOLBIX CONSULTING Inc. been affected by any supply chain cyber incidents ?

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

Does DOLBIX CONSULTING Inc. have SOC 2 Type 1 certification ?

According to Rankiteo, DOLBIX CONSULTING Inc. is not certified under SOC 2 Type 1.

Does DOLBIX CONSULTING Inc. have SOC 2 Type 2 certification ?

According to Rankiteo, DOLBIX CONSULTING Inc. does not hold a SOC 2 Type 2 certification.

Does DOLBIX CONSULTING Inc. comply with GDPR ?

According to Rankiteo, DOLBIX CONSULTING Inc. is not listed as GDPR compliant.

Does DOLBIX CONSULTING Inc. have PCI DSS certification ?

According to Rankiteo, DOLBIX CONSULTING Inc. does not currently maintain PCI DSS compliance.

Does DOLBIX CONSULTING Inc. comply with HIPAA ?

According to Rankiteo, DOLBIX CONSULTING Inc. is not compliant with HIPAA regulations.

Does DOLBIX CONSULTING Inc. have ISO 27001 certification ?

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

Which industry does DOLBIX CONSULTING Inc. operate in ?

DOLBIX CONSULTING Inc. operates primarily in the Business Consulting and Services industry.

How many employees does DOLBIX CONSULTING Inc. have ?

DOLBIX CONSULTING Inc. employs approximately 27 people worldwide.

Does DOLBIX CONSULTING Inc. own any subsidiaries ?

DOLBIX CONSULTING Inc. presently has no subsidiaries across any sectors.

How many LinkedIn followers does DOLBIX CONSULTING Inc. have ?

DOLBIX CONSULTING Inc.'s official LinkedIn profile has approximately 115 followers.

What is the NAICS classification code for DOLBIX CONSULTING Inc. ?

DOLBIX CONSULTING Inc. is classified under the NAICS code 5416, which corresponds to Management, Scientific, and Technical Consulting Services.

Does DOLBIX CONSULTING Inc. have a Crunchbase profile ?

No, DOLBIX CONSULTING Inc. does not have a profile on Crunchbase.

Does DOLBIX CONSULTING Inc. have a LinkedIn profile ?

Yes, DOLBIX CONSULTING 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/dolbix-consulting-inc.

How many cybersecurity incidents has DOLBIX CONSULTING Inc. experienced ?

As of June 23, 2026, Rankiteo reports that DOLBIX CONSULTING Inc. has experienced 2 cybersecurity incidents.

How many peer or competitor companies does DOLBIX CONSULTING Inc. have ?

DOLBIX CONSULTING Inc. has an estimated 19,483 peer or competitor companies worldwide.

What types of cybersecurity incidents has DOLBIX CONSULTING Inc. faced ?

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

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DCI

Boost Score +25 with badge (5 left)

753

/1000

Fair

778

/1000

Fair

DOLBIX CONSULTING Inc. Vendor Cyber Rating & Cyber Score

dolbix.com

Add Your Compliance Badge

DOLBIXは、丸紅100％出資のDXコンサルティングファームです。戦略とDXの知見を持つプロフェッショナルが集結しており、【１】DXの目的としてのビジネスと、手段であるITの両面でコンサルティングを行い、【２】丸紅グループの持つ事業資産を活かしたハンズオン支援を行い、【３】グループ内の社会基盤に関わる事業へのDXコンサルティングの知見をグループ外にも展開することで、日本のDXを先導します。

DCI A.I CyberSecurity Scoring

Scoring History

DCI

DOLBIX CONSULTING Inc. CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

DOLBIX CONSULTING I...

Breach

11/2022

COL21151222

DOLBIX CONSULTING I...

Breach

3/2022

COL420072725

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A.I.

DCI 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 DCI

Incidents vs Business Consulting and Services Industry Avg (This Year)

No incidents recorded for DOLBIX CONSULTING Inc. in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for DOLBIX CONSULTING Inc. in 2026.

Incident Types DCI vs Business Consulting and Services Industry Avg (This Year)

No incidents recorded for DOLBIX CONSULTING Inc. in 2026.

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

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SUBSIDIARY

DOLBIX CONSULTING Inc. Subsidiaries

DCI

Business Consulting and Services

Website: https://www.dolbix.com/

Company Size: 27

Marubeni CorporationInternational Trade and Development

BJITOutsourcing and Offshoring Consulting

Maynilad Water Services, Inc.Utilities

Marubeni-Komatsu LtdMachinery Manufacturing

Komatsu Hybrid Excavator HB215LC-2Construction

Marubeni-Komatsu Used EquipmentConstruction

Marubeni America CorporationFinancial Services

DASIAviation and Aerospace Component Manufacturing

Magellan Aviation GroupAirlines and Aviation

Magellan ExpendablesAirlines and Aviation

Marubeni Brasil S.A.International Trade and Development

Orffa Animal Feed Manufacturing

Columbia Grain InternationalFood and Beverage 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

Marubeni Ventures Inc.Financial Services

DTDS Technology Pte Ltd., Marubeni GroupSemiconductor Manufacturing

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NEWS

DOLBIX CONSULTING Inc. 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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