What is the official website of Interacoustics UK ?

The official website of Interacoustics UK is https://interacoustics.co.uk/.

What is Interacoustics UK's cybersecurity risk score?

Interacoustics UK has an AI-generated cybersecurity risk score of 756 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Interacoustics UK experienced?

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

Has Interacoustics UK been affected by any supply chain cyber incidents ?

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

Does Interacoustics UK have SOC 2 Type 1 certification ?

According to Rankiteo, Interacoustics UK is not certified under SOC 2 Type 1.

Does Interacoustics UK have SOC 2 Type 2 certification ?

According to Rankiteo, Interacoustics UK does not hold a SOC 2 Type 2 certification.

Does Interacoustics UK comply with GDPR ?

According to Rankiteo, Interacoustics UK is not listed as GDPR compliant.

Does Interacoustics UK have PCI DSS certification ?

According to Rankiteo, Interacoustics UK does not currently maintain PCI DSS compliance.

Does Interacoustics UK comply with HIPAA ?

According to Rankiteo, Interacoustics UK is not compliant with HIPAA regulations.

Does Interacoustics UK have ISO 27001 certification ?

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

Which industry does Interacoustics UK operate in ?

Interacoustics UK operates primarily in the Medical Equipment Manufacturing industry.

How many employees does Interacoustics UK have ?

Interacoustics UK employs approximately 6 people worldwide.

Does Interacoustics UK own any subsidiaries ?

Interacoustics UK presently has no subsidiaries across any sectors.

How many LinkedIn followers does Interacoustics UK have ?

Interacoustics UK's official LinkedIn profile has approximately 854 followers.

What is the NAICS classification code for Interacoustics UK ?

Interacoustics UK is classified under the NAICS code 3391, which corresponds to Medical Equipment and Supplies Manufacturing.

Does Interacoustics UK have a Crunchbase profile ?

No, Interacoustics UK does not have a profile on Crunchbase.

Does Interacoustics UK have a LinkedIn profile ?

Yes, Interacoustics UK maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/interacoustics-uk.

How many cybersecurity incidents has Interacoustics UK experienced ?

As of June 23, 2026, Rankiteo reports that Interacoustics UK has not experienced any cybersecurity incidents.

How many peer or competitor companies does Interacoustics UK have ?

Interacoustics UK has an estimated 5,853 peer or competitor companies worldwide.

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Interacoustics UK

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756

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Fair

781

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Fair

Interacoustics UK Vendor Cyber Rating & Cyber Score

interacoustics.co.uk

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Interacoustics UK was established in 2011 to provide advice and support to healthcare professionals based in the UK. We are part of the Demant Group, one of the largest hearing healthcare providers in the world and we share our UK head office with Oticon, Oticon Medical and Bernafon. From an initial team of 2 we have grown over the years and now have 14 team members dedicated to supporting our customers to deliver the very best diagnostic solutions for their patients. As a division of the world’s largest supplier of diagnostic equipment we appreciate that the only way to fully understand our customers’ needs is to work closely with them on issues that are important to them. By doing this we are able to design and manufacture equipment

Interacoustics UK A.I CyberSecurity Scoring

Scoring History

Interacoustics UK

Interacoustics UK CyberSecurity News & History

Past Incidents

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A.I.

Interacoustics UK Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

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A.I Risk Score Likelihood 3 - 6 - 9 months

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Prediction D

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Underwriter Stats for Interacoustics UK

Incidents vs Medical Equipment Manufacturing Industry Avg (This Year)

No incidents recorded for Interacoustics UK in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Interacoustics UK in 2026.

Incident Types Interacoustics UK vs Medical Equipment Manufacturing Industry Avg (This Year)

No incidents recorded for Interacoustics UK in 2026.

Incident History - Interacoustics UK (X = Date, Y = Severity)

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SUBSIDIARY

Interacoustics UK Subsidiaries

Interacoustics UK

Medical Equipment Manufacturing

Website: https://interacoustics.co.uk/

Company Size: 6

HIMSASoftware Development

DemantMedical Equipment Manufacturing

OticonMedical Equipment Manufacturing

Oticon Australia Medical Equipment Manufacturing

Oticon ChinaMedical Device

Oticon MedicalMedical Device

EPOSComputers and Electronics Manufacturing

BernafonMedical Equipment Manufacturing

Bernafon FranceMedical Equipment Manufacturing

Bernafon SpainMedical Equipment Manufacturing

Bernafon DeutschlandMedical Equipment Manufacturing

Bernafon TurkeyMedical Equipment Manufacturing

Acustica Sp. z o.o. (Grupa Bernafon)Medical Device

Demant PolskaMedical Device

Eriksholm Research CentreResearch

FrontRowE-Learning Providers

SolaborateIT Services and IT Consulting

HELLO SolaborateComputer Hardware Manufacturing

Life at SolaborateSoftware Development

Solaborate OpportunitiesIT Services and IT Consulting

Demant Technology and Innovation Centre MalaysiaMedical Equipment Manufacturing

Sonic EquipmentMedical Device

Audmet OyMedical Equipment Manufacturing

Your Hearing NetworkWellness and Fitness Services

DGS PolandMedical Device

PRODITIONWholesale

AudioNet AmericaInsurance

Workplace IntegraHealth and Human Services

DGS DiagnosticsMedical Equipment Manufacturing

Interacoustics AustraliaMedical Device

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NEWS

Interacoustics UK 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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