What is the official website of Demant Brasil ?

The official website of Demant Brasil is www.demant.com.br.

What is Demant Brasil's cybersecurity risk score?

Demant Brasil has an AI-generated cybersecurity risk score of 757 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Demant Brasil experienced?

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

Has Demant Brasil been affected by any supply chain cyber incidents ?

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

Does Demant Brasil have SOC 2 Type 1 certification ?

According to Rankiteo, Demant Brasil is not certified under SOC 2 Type 1.

Does Demant Brasil have SOC 2 Type 2 certification ?

According to Rankiteo, Demant Brasil does not hold a SOC 2 Type 2 certification.

Does Demant Brasil comply with GDPR ?

According to Rankiteo, Demant Brasil is not listed as GDPR compliant.

Does Demant Brasil have PCI DSS certification ?

According to Rankiteo, Demant Brasil does not currently maintain PCI DSS compliance.

Does Demant Brasil comply with HIPAA ?

According to Rankiteo, Demant Brasil is not compliant with HIPAA regulations.

Does Demant Brasil have ISO 27001 certification ?

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

Which industry does Demant Brasil operate in ?

Demant Brasil operates primarily in the Medical Equipment Manufacturing industry.

How many employees does Demant Brasil have ?

Demant Brasil employs approximately 34 people worldwide.

Does Demant Brasil own any subsidiaries ?

Demant Brasil presently has no subsidiaries across any sectors.

How many LinkedIn followers does Demant Brasil have ?

Demant Brasil's official LinkedIn profile has approximately 4,294 followers.

What is the NAICS classification code for Demant Brasil ?

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

Does Demant Brasil have a Crunchbase profile ?

No, Demant Brasil does not have a profile on Crunchbase.

Does Demant Brasil have a LinkedIn profile ?

Yes, Demant Brasil maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/demant-brasil.

How many cybersecurity incidents has Demant Brasil experienced ?

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

How many peer or competitor companies does Demant Brasil have ?

Demant Brasil has an estimated 5,853 peer or competitor companies worldwide.

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757

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Fair

782

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Fair

Demant Brasil Vendor Cyber Rating & Cyber Score

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A Demant é grupo mundial líder em saúde auditiva que oferece soluções e serviços para ajudar pessoas com perda auditiva a se conectar e se comunicar com o mundo ao seu redor. A Demant emprega aproximadamente 20.000 colaboradores em mais de 30 países e oferece soluções em saúde auditiva para pessoas em mais de 130 países. A William Demant Foundation detém a maioria das ações da Demant A/S, que está listada na Nasdaq Copenhagen como parte das 25 ações mais negociadas. Trabalhamos em conjunto e combinamos nosso conhecimento com as empresas do Grupo Demant e, assim, podemos oferecer às pessoas tanto o benefício da tecnologia mais recente quanto informações valiosas sobre o cuidado auditivo. A Demant é a empresa-mãe por trás dos sucessos

Demant Brasil A.I CyberSecurity Scoring

Scoring History

Demant Brasil

Demant Brasil CyberSecurity News & History

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A.I.

Demant Brasil 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

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Prediction B

Prediction C

Prediction D

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Underwriter Stats for Demant Brasil

Incidents vs Medical Equipment Manufacturing Industry Avg (This Year)

No incidents recorded for Demant Brasil in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Demant Brasil in 2026.

Incident Types Demant Brasil vs Medical Equipment Manufacturing Industry Avg (This Year)

No incidents recorded for Demant Brasil in 2026.

Incident History - Demant Brasil (X = Date, Y = Severity)

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SUBSIDIARY

Demant Brasil Subsidiaries

Parent Company

Demant Brasil

Medical Equipment Manufacturing

Website: www.demant.com.br

Company Size: 34

No subsidiary data available for this company.

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NEWS

Demant Brasil CyberSecurity News

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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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