What is the official website of Dimension Data Asia Pacific ?

The official website of Dimension Data Asia Pacific is https://www.dimensiondata.com/.

What is Dimension Data Asia Pacific's cybersecurity risk score?

Dimension Data Asia Pacific has an AI-generated cybersecurity risk score of 747 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Dimension Data Asia Pacific experienced?

According to Rankiteo, Dimension Data Asia Pacific currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Dimension Data Asia Pacific been affected by any supply chain cyber incidents ?

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

Does Dimension Data Asia Pacific have SOC 2 Type 1 certification ?

According to Rankiteo, Dimension Data Asia Pacific is not certified under SOC 2 Type 1.

Does Dimension Data Asia Pacific have SOC 2 Type 2 certification ?

According to Rankiteo, Dimension Data Asia Pacific does not hold a SOC 2 Type 2 certification.

Does Dimension Data Asia Pacific comply with GDPR ?

According to Rankiteo, Dimension Data Asia Pacific is not listed as GDPR compliant.

Does Dimension Data Asia Pacific have PCI DSS certification ?

According to Rankiteo, Dimension Data Asia Pacific does not currently maintain PCI DSS compliance.

Does Dimension Data Asia Pacific comply with HIPAA ?

According to Rankiteo, Dimension Data Asia Pacific is not compliant with HIPAA regulations.

Does Dimension Data Asia Pacific have ISO 27001 certification ?

According to Rankiteo,Dimension Data Asia Pacific is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Dimension Data Asia Pacific operate in ?

Dimension Data Asia Pacific operates primarily in the IT Services and IT Consulting industry.

How many employees does Dimension Data Asia Pacific have ?

Dimension Data Asia Pacific employs approximately 2 people worldwide.

Does Dimension Data Asia Pacific own any subsidiaries ?

Dimension Data Asia Pacific presently has no subsidiaries across any sectors.

How many LinkedIn followers does Dimension Data Asia Pacific have ?

Dimension Data Asia Pacific's official LinkedIn profile has approximately 4,961 followers.

Does Dimension Data Asia Pacific have a Crunchbase profile ?

No, Dimension Data Asia Pacific does not have a profile on Crunchbase.

Does Dimension Data Asia Pacific have a LinkedIn profile ?

Yes, Dimension Data Asia Pacific maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/dimension-data-asia-pacific.

How many cybersecurity incidents has Dimension Data Asia Pacific experienced ?

As of June 24, 2026, Rankiteo reports that Dimension Data Asia Pacific has experienced 4 cybersecurity incidents.

How many peer or competitor companies does Dimension Data Asia Pacific have ?

Dimension Data Asia Pacific has an estimated 40,800 peer or competitor companies worldwide.

What types of cybersecurity incidents has Dimension Data Asia Pacific faced ?

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

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747

/1000

Moderate

772

/1000

Fair

Dimension Data Asia Pacific Vendor Cyber Rating & Cyber Score

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Find out how technology will accelerate your digital business with Dimension Data Asia Pacific. Visit https://www.dimensiondata.com/ for more.

DDAP A.I CyberSecurity Scoring

Scoring History

DDAP

Dimension Data Asia Pacific CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Security-Assessment...

Cyber Attack

100

6/2026

SEC1782225545

NTT

Cyber Attack

4/2026

NTTPLURALCARHEL...

Security-Assessment...

Cyber Attack

100

8/2024

SEC1782152684

Dimension Data Asia...

Cyber Attack

6/2022

NTT090270910232...

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A.I.

DDAP 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 DDAP

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

No incidents recorded for Dimension Data Asia Pacific in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Dimension Data Asia Pacific in 2026.

Incident Types DDAP vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for Dimension Data Asia Pacific in 2026.

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

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SUBSIDIARY

Dimension Data Asia Pacific Subsidiaries

DDAP

IT Services and IT Consulting

Website: https://www.dimensiondata.com/

Company Size: 2

Dimension DataIT Services and IT Consulting

AlwaysOn WiFiTechnology, Information and Internet

NTT DATA Middle East and AfricaIT Services and IT Consulting

NTT DATA, Inc.IT Services and IT Consulting

NTT DATA North AmericaIT Services and IT Consulting

Launch by NTT DATAIT Services and IT Consulting

NTT DATAIT Services and IT Consulting

NTTIT Services and IT Consulting

WinActor - RPA & Hyperautomation Solutionソフトウェア開発

NTT DATA Business SolutionsIT Services and IT Consulting

NTT DATA Asia PacificIT Services and IT Consulting

LAKUFINJasa TI dan Konsultan TI

NTT Global Data CentersIT Services and IT Consulting

Global IP Network AS2914Telecommunications

NTT DATA MoroccoIT Services and IT Consulting

Internet SolutionsIT Services and IT Consulting

MerchantsOutsourcing and Offshoring Consulting

Workforce Solutions, a division of NTT Ltd.IT Services and IT Consulting

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NEWS

Dimension Data Asia Pacific CyberSecurity News

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

October 31, 2025 07:00 AM

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April 17, 2025 04:38 AM

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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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SBOM (Software Bill of Materials)Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.

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