What is the official website of Rigshospitalet ?

The official website of Rigshospitalet is http://www.rigshospitalet.dk.

What is Rigshospitalet's cybersecurity risk score?

Rigshospitalet has an AI-generated cybersecurity risk score of 776 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Rigshospitalet experienced?

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

Has Rigshospitalet been affected by any supply chain cyber incidents ?

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

Does Rigshospitalet have SOC 2 Type 1 certification ?

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

Does Rigshospitalet have SOC 2 Type 2 certification ?

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

Does Rigshospitalet comply with GDPR ?

According to Rankiteo, Rigshospitalet is not listed as GDPR compliant.

Does Rigshospitalet have PCI DSS certification ?

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

Does Rigshospitalet comply with HIPAA ?

According to Rankiteo, Rigshospitalet is not compliant with HIPAA regulations.

Does Rigshospitalet have ISO 27001 certification ?

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

Which industry does Rigshospitalet operate in ?

Rigshospitalet operates primarily in the Hospitals and Health Care industry.

How many employees does Rigshospitalet have ?

Rigshospitalet employs approximately 8,123 people worldwide.

Does Rigshospitalet own any subsidiaries ?

Rigshospitalet presently has no subsidiaries across any sectors.

How many LinkedIn followers does Rigshospitalet have ?

Rigshospitalet's official LinkedIn profile has approximately 47,508 followers.

What is the NAICS classification code for Rigshospitalet ?

Rigshospitalet is classified under the NAICS code 62, which corresponds to Health Care and Social Assistance.

Does Rigshospitalet have a Crunchbase profile ?

No, Rigshospitalet does not have a profile on Crunchbase.

Does Rigshospitalet have a LinkedIn profile ?

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

How many cybersecurity incidents has Rigshospitalet experienced ?

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

How many peer or competitor companies does Rigshospitalet have ?

Rigshospitalet has an estimated 33,107 peer or competitor companies worldwide.

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Rigshospitalet

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776

/1000

Fair

801

/1000

Good

Rigshospitalet Vendor Cyber Rating & Cyber Score

rigshospitalet.dk

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Rigshospitalet is Denmark’s most highly specialised hospital, providing treatment for people in Denmark, the Faeroe Islands and Greenland. We stand for an open and inclusive hospital with focus on patient needs. Also we focus on being an efficient workplace promoting wellbeing for our approximately 12.000 employees. Through our skilful employees we are among the best in Europe; professionally and for training and research. On 1 January 2015 Rigshospitalet merged with Glostrup Hospital, making it the largest hospital in Denmark.

Rigshospitalet A.I CyberSecurity Scoring

Scoring History

Rigshospitalet

Rigshospitalet CyberSecurity News & History

Past Incidents

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Impact

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A.I.

Rigshospitalet 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

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Underwriter Stats for Rigshospitalet

Incidents vs Hospitals and Health Care Industry Avg (This Year)

No incidents recorded for Rigshospitalet in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Rigshospitalet in 2026.

Incident Types Rigshospitalet vs Hospitals and Health Care Industry Avg (This Year)

No incidents recorded for Rigshospitalet in 2026.

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

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SUBSIDIARY

Rigshospitalet Subsidiaries

Rigshospitalet

Hospitals and Health Care

Website: http://www.rigshospitalet.dk

Company Size: 8,123

Region HovedstadenHospitals and Health Care

Amager og Hvidovre HospitalHospitals and Health Care

Region Hovedstadens PsykiatriHospitals and Health Care

Bispebjerg HospitalHospitals and Health Care

Nyt Hospital BispebjergArkitektur og planlægning

CAMESHospitals and Health Care

Region Hovedstadens ApotekHospitals and Health Care

Region Hovedstadens Akutberedskab - Emergency Medical ServicesHospitals and Health Care

European EMS LeadershipHospitaler og sundhedspleje

Glostrup HospitalHospitals and Health Care

Frederiksberg HospitalHospitals and Health Care

Amager HospitalHospitals and Health Care

Bornholms HospitalHospitals and Health Care

Den Sociale Virksomhed, Region HovedstadenCivic and Social Organizations

Centre for Real Estate, Capital RegionHospitals and Health Care

Psykiatrisk Center KøbenhavnMental Health Care

Dansk HovedpinecenterHospitals and Health Care

Skibbyhøj, Region Hovedstadens PsykiatriWellness and Fitness Services

CAF (Center for ArbejdsFastholdelse)Human Resources Services

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NEWS

Rigshospitalet CyberSecurity News

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

May 29, 2024 07:00 AM

Nordic university hospitals team up

Five Nordic university hospitals have formed the Nordic University Hospital Alliance (NUHA). The goal is to strengthen relationships and...

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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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