What is the official website of Unimed Erechim ?

The official website of Unimed Erechim is https://www.unimed.coop.br/site/web/erechim.

What is Unimed Erechim's cybersecurity risk score?

Unimed Erechim has an AI-generated cybersecurity risk score of 768 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Unimed Erechim experienced?

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

Has Unimed Erechim been affected by any supply chain cyber incidents ?

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

Does Unimed Erechim have SOC 2 Type 1 certification ?

According to Rankiteo, Unimed Erechim is not certified under SOC 2 Type 1.

Does Unimed Erechim have SOC 2 Type 2 certification ?

According to Rankiteo, Unimed Erechim does not hold a SOC 2 Type 2 certification.

Does Unimed Erechim comply with GDPR ?

According to Rankiteo, Unimed Erechim is not listed as GDPR compliant.

Does Unimed Erechim have PCI DSS certification ?

According to Rankiteo, Unimed Erechim does not currently maintain PCI DSS compliance.

Does Unimed Erechim comply with HIPAA ?

According to Rankiteo, Unimed Erechim is not compliant with HIPAA regulations.

Does Unimed Erechim have ISO 27001 certification ?

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

Which industry does Unimed Erechim operate in ?

Unimed Erechim operates primarily in the Wellness and Fitness Services industry.

How many employees does Unimed Erechim have ?

Unimed Erechim employs approximately 0 people worldwide.

Does Unimed Erechim own any subsidiaries ?

Unimed Erechim presently has no subsidiaries across any sectors.

How many LinkedIn followers does Unimed Erechim have ?

Unimed Erechim's official LinkedIn profile has approximately 5,531 followers.

What is the NAICS classification code for Unimed Erechim ?

Unimed Erechim is classified under the NAICS code 71394, which corresponds to Fitness and Recreational Sports Centers.

Does Unimed Erechim have a Crunchbase profile ?

No, Unimed Erechim does not have a profile on Crunchbase.

Does Unimed Erechim have a LinkedIn profile ?

Yes, Unimed Erechim maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/unimed-erechim.

How many cybersecurity incidents has Unimed Erechim experienced ?

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

How many peer or competitor companies does Unimed Erechim have ?

Unimed Erechim has an estimated 12,347 peer or competitor companies worldwide.

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Unimed Erechim

Boost Score +25 with badge (5 left)

768

/1000

Fair

793

/1000

Fair

Unimed Erechim Vendor Cyber Rating & Cyber Score

unimed.coop.br

Add Your Compliance Badge

Somos a primeira cooperativa médica do Rio Grande do Sul. Desde a fundação, em 5 de outubro 1971, nosso trabalho é reconhecido pelo alto padrão de qualidade. Contamos com 244 médicos cooperados e aproximadamente 260 colaboradores permanentemente capacitados para oferecer o melhor atendimento a mais de 20 mil beneficiários. Em nossa infraestrutura, oferecemos um Laboratório de Análises Clínicas, três farmácias, Hospital Unimed, Centro de Diagnóstico por Imagem, Clínica de Fisioterapia, serviço de Saúde Ocupacional e de Medicina Preventiva, além do suporte de 16 hospitais, 42 clínicas de diagnóstico, 8 clínicas de fisioterapia, 16 laboratórios de análises clínicas e um banco de sangue conveniado. Estamos presentes em 35 municípios do Norte

Unimed Erechim A.I CyberSecurity Scoring

Scoring History

Unimed Erechim

Unimed Erechim CyberSecurity News & History

Past Incidents

Attack Types

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Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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A.I.

Unimed Erechim 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 Unimed Erechim

Incidents vs Wellness and Fitness Services Industry Avg (This Year)

No incidents recorded for Unimed Erechim in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Unimed Erechim in 2026.

Incident Types Unimed Erechim vs Wellness and Fitness Services Industry Avg (This Year)

No incidents recorded for Unimed Erechim in 2026.

Incident History - Unimed Erechim (X = Date, Y = Severity)

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SUBSIDIARY

Unimed Erechim Subsidiaries

Parent Company

Unimed Erechim

Wellness and Fitness Services

Website: https://www.unimed.coop.br/site/web/erechim

Company Size: 0

No subsidiary data available for this company.

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NEWS

Unimed Erechim 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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