What is the official website of OpenView Business Systems - (Access Kenya Group) ?

The official website of OpenView Business Systems - (Access Kenya Group) is http://www.accesskenya.com.

What is OpenView Business Systems - (Access Kenya Group)'s cybersecurity risk score?

OpenView Business Systems - (Access Kenya Group) has an AI-generated cybersecurity risk score of 809 out of 1000, indicating a Good security posture according to Rankiteo's assessment.

How many security incidents has OpenView Business Systems - (Access Kenya Group) experienced?

According to Rankiteo, OpenView Business Systems - (Access Kenya Group) currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has OpenView Business Systems - (Access Kenya Group) been affected by any supply chain cyber incidents ?

According to Rankiteo, OpenView Business Systems - (Access Kenya Group) has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does OpenView Business Systems - (Access Kenya Group) have SOC 2 Type 1 certification ?

According to Rankiteo, OpenView Business Systems - (Access Kenya Group) is not certified under SOC 2 Type 1.

Does OpenView Business Systems - (Access Kenya Group) have SOC 2 Type 2 certification ?

According to Rankiteo, OpenView Business Systems - (Access Kenya Group) does not hold a SOC 2 Type 2 certification.

Does OpenView Business Systems - (Access Kenya Group) comply with GDPR ?

According to Rankiteo, OpenView Business Systems - (Access Kenya Group) is not listed as GDPR compliant.

Does OpenView Business Systems - (Access Kenya Group) have PCI DSS certification ?

According to Rankiteo, OpenView Business Systems - (Access Kenya Group) does not currently maintain PCI DSS compliance.

Does OpenView Business Systems - (Access Kenya Group) comply with HIPAA ?

According to Rankiteo, OpenView Business Systems - (Access Kenya Group) is not compliant with HIPAA regulations.

Does OpenView Business Systems - (Access Kenya Group) have ISO 27001 certification ?

According to Rankiteo,OpenView Business Systems - (Access Kenya Group) is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does OpenView Business Systems - (Access Kenya Group) operate in ?

OpenView Business Systems - (Access Kenya Group) operates primarily in the IT Services and IT Consulting industry.

How many employees does OpenView Business Systems - (Access Kenya Group) have ?

OpenView Business Systems - (Access Kenya Group) employs approximately 28 people worldwide.

Does OpenView Business Systems - (Access Kenya Group) own any subsidiaries ?

OpenView Business Systems - (Access Kenya Group) presently has no subsidiaries across any sectors.

How many LinkedIn followers does OpenView Business Systems - (Access Kenya Group) have ?

OpenView Business Systems - (Access Kenya Group)'s official LinkedIn profile has approximately followers.

What is the NAICS classification code for OpenView Business Systems - (Access Kenya Group) ?

OpenView Business Systems - (Access Kenya Group) is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.

Does OpenView Business Systems - (Access Kenya Group) have a Crunchbase profile ?

No, OpenView Business Systems - (Access Kenya Group) does not have a profile on Crunchbase.

Does OpenView Business Systems - (Access Kenya Group) have a LinkedIn profile ?

Yes, OpenView Business Systems - (Access Kenya Group) maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/openview-business-systems---access-kenya-group-.

How many cybersecurity incidents has OpenView Business Systems - (Access Kenya Group) experienced ?

As of June 24, 2026, Rankiteo reports that OpenView Business Systems - (Access Kenya Group) has experienced 3 cybersecurity incidents.

How many peer or competitor companies does OpenView Business Systems - (Access Kenya Group) have ?

OpenView Business Systems - (Access Kenya Group) has an estimated 40,800 peer or competitor companies worldwide.

What types of cybersecurity incidents has OpenView Business Systems - (Access Kenya Group) faced ?

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

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809

/1000

Good

834

/1000

Good

OpenView Business Systems - (Access Kenya Group) Vendor Cyber Rating & Cyber Score

accesskenya.com

Add Your Compliance Badge

www.accesskenya.com

OBS A.I CyberSecurity Scoring

Scoring History

OBS

OpenView Business Systems - (Access Kenya Group) 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

Security-Assessment...

Cyber Attack

100

8/2024

SEC1782152684

OpenView Business S...

Cyber Attack

6/2022

NTT090270910232...

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A.I.

OBS 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 OBS

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

No incidents recorded for OpenView Business Systems - (Access Kenya Group) in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for OpenView Business Systems - (Access Kenya Group) in 2026.

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

No incidents recorded for OpenView Business Systems - (Access Kenya Group) in 2026.

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

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SUBSIDIARY

OpenView Business Systems - (Access Kenya Group) Subsidiaries

OBS

IT Services and IT Consulting

Website: http://www.accesskenya.com

Company Size: 201-500 employees

Dimension DataIT Services and IT Consulting

NTT DATA Middle East and AfricaIT Services and IT Consulting

NTT DATA MoroccoIT Services and IT Consulting

NTT DATA, Inc.IT Services and IT Consulting

NTT DATA North AmericaIT Services and IT Consulting

NTT Global Data CentersIT Services and IT Consulting

NTT DATAIT Services and IT Consulting

Global IP Network AS2914Telecommunications

NTT DATA Business SolutionsIT Services and IT Consulting

NTT DATA Asia PacificIT Services and IT Consulting

MerchantsOutsourcing and Offshoring Consulting

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

Dimension Data Asia PacificIT Services and IT Consulting

AlwaysOn WiFiTechnology, Information and Internet

PlesseyTelecommunications

OaktonIT Services and IT Consulting

DDLSProfessional Training and Coaching

ContinuitySAIT Services and IT Consulting

AGILEIT Services and IT Consulting

DDMTechnology, Information and Internet

XpediaIT Services and IT Consulting

Internet SolutionsIT Services and IT Consulting

Database Solutions, a division of NTT Ltd.Information Technology & Services

BritehouseInformation Technology & Services

DatafloInformation Technology & Services

Dimension Data (Saudi Arabia)Information Technology & Services

AlwaysOn WiFiTechnology, Information and Internet

Express DataIT Services and IT Consulting

OpSourceIT Services and IT Consulting

Security-Assessment.comComputer and Network Security

EuricomIT Services and IT Consulting

Dimension Data NederlandIT Services and IT Consulting

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NEWS

OpenView Business Systems - (Access Kenya Group) CyberSecurity News

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

February 02, 2018 08:00 AM

Access Kenya re-brands to Internet Solutions

Access Kenya has officially re-branded to Internet Solutions Kenya (IS-Kenya). Dimension Data bought out Access Kenya in 2014; following the...

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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