Has University of Luxembourg Incubator and Entrepreneurship Programme been affected by any supply chain cyber incidents ?

According to Rankiteo, University of Luxembourg Incubator and Entrepreneurship Programme has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does University of Luxembourg Incubator and Entrepreneurship Programme have ISO 27001 certification ?

According to Rankiteo,University of Luxembourg Incubator and Entrepreneurship Programme is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

How many LinkedIn followers does University of Luxembourg Incubator and Entrepreneurship Programme have ?

University of Luxembourg Incubator and Entrepreneurship Programme's official LinkedIn profile has approximately 6,678 followers.

What is the NAICS classification code for University of Luxembourg Incubator and Entrepreneurship Programme ?

University of Luxembourg Incubator and Entrepreneurship Programme is classified under the NAICS code 6113, which corresponds to Colleges, Universities, and Professional Schools.

How many peer or competitor companies does University of Luxembourg Incubator and Entrepreneurship Programme have ?

University of Luxembourg Incubator and Entrepreneurship Programme has an estimated 17,098 peer or competitor companies worldwide.

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ULIEP

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773

/1000

Fair

798

/1000

Fair

University of Luxembourg Incubator and Entrepreneurship Programme Vendor Cyber Rating & Cyber Score

uni.lu

Add Your Compliance Badge

Entrepreneurship Programme gives the community of the University of Luxembourg a possibility to participate in carefully designed initiatives like Ideation Camp that allow them to acquire business, technical (prototyping) and personal development skills. Entrepreneurship Programme works closely with the University of Luxembourg Incubator, a place where University's business ideas thrive. Business leaders from Luxembourg and abroad are invited as mentors and speakers to support young entrepreneurs in being successful in their projects

ULIEP A.I CyberSecurity Scoring

Scoring History

ULIEP

University of Luxembourg Incubator and Entrepreneurship Programme CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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No data available

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A.I.

ULIEP 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 ULIEP

Incidents vs Higher Education Industry Avg (This Year)

No incidents recorded for University of Luxembourg Incubator and Entrepreneurship Programme in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for University of Luxembourg Incubator and Entrepreneurship Programme in 2026.

Incident Types ULIEP vs Higher Education Industry Avg (This Year)

No incidents recorded for University of Luxembourg Incubator and Entrepreneurship Programme in 2026.

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

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SUBSIDIARY

University of Luxembourg Incubator and Entrepreneurship Programme Subsidiaries

ULIEP

Higher Education

Website: https://incubator.uni.lu

Company Size: 2-10 employees

Université du LuxembourgEnseignement supérieur

Luxembourg Centre for Socio-Environmental Systems (LCSES) - University of LuxembourgHigher Education

Luxembourg Centre for European Law (LCEL) - University of LuxembourgÉtudes/recherche

Luxembourg Centre for Logistics & Supply Chain ManagementEnseignement supérieur

Faculté de Droit, d’Économie et de Finance - Université du LuxembourgEnseignement supérieur

University of Luxembourg Alumni NetworkEnseignement supérieur

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Newcastle University is a Russell Group university in the North East of England with a thriving international community of some 27,750 students from over 130 countries worldwide. As a member of the Russell Group of research intensive universities we have a world-class reputation for research excellence in the fields of medicine, science and engineering, social sciences and the humanities. Our academics are sharply focused on responding to the major challenges facing society today. Our research and teaching are world-leading in areas as diverse as health, culture, technology and the environment. We are committed to providing our students with excellent, research-led teaching delivered by dedicated and passionate teachers. Newcastle is among the top 20 universities in the country for our employment rate with 95% of our graduates going on to employment or further study, more than three quarters in graduate-level jobs. We are also one of the top 20 universities targeted by graduate employers in the UK.

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NEWS

University of Luxembourg Incubator and Entrepreneurship Programme CyberSecurity News

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

May 06, 2024 07:00 AM

Startup World Cup – 10 startups will be pitching for their ticket to Silicon Valley

The Luxembourg final will be held in Kirchberg on Thursday, 6 June 2024, and hosted by EY Luxembourg. The winner of the local pitching...

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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