What is the official website of Coop Tagungszentrum ?

The official website of Coop Tagungszentrum is http://www.cooptagungszentrum.ch.

What is Coop Tagungszentrum's cybersecurity risk score?

Coop Tagungszentrum has an AI-generated cybersecurity risk score of 770 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Coop Tagungszentrum experienced?

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

Has Coop Tagungszentrum been affected by any supply chain cyber incidents ?

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

Does Coop Tagungszentrum have SOC 2 Type 1 certification ?

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

Does Coop Tagungszentrum have SOC 2 Type 2 certification ?

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

Does Coop Tagungszentrum comply with GDPR ?

According to Rankiteo, Coop Tagungszentrum is not listed as GDPR compliant.

Does Coop Tagungszentrum have PCI DSS certification ?

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

Does Coop Tagungszentrum comply with HIPAA ?

According to Rankiteo, Coop Tagungszentrum is not compliant with HIPAA regulations.

Does Coop Tagungszentrum have ISO 27001 certification ?

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

Which industry does Coop Tagungszentrum operate in ?

Coop Tagungszentrum operates primarily in the Hospitality industry.

How many employees does Coop Tagungszentrum have ?

Coop Tagungszentrum employs approximately 4 people worldwide.

Does Coop Tagungszentrum own any subsidiaries ?

Coop Tagungszentrum presently has no subsidiaries across any sectors.

How many LinkedIn followers does Coop Tagungszentrum have ?

Coop Tagungszentrum's official LinkedIn profile has approximately 491 followers.

What is the NAICS classification code for Coop Tagungszentrum ?

Coop Tagungszentrum is classified under the NAICS code 7211, which corresponds to Traveler Accommodation.

Does Coop Tagungszentrum have a Crunchbase profile ?

No, Coop Tagungszentrum does not have a profile on Crunchbase.

Does Coop Tagungszentrum have a LinkedIn profile ?

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

How many cybersecurity incidents has Coop Tagungszentrum experienced ?

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

How many peer or competitor companies does Coop Tagungszentrum have ?

Coop Tagungszentrum has an estimated 14,284 peer or competitor companies worldwide.

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Coop Tagungszentrum

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770

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Fair

795

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Fair

Coop Tagungszentrum Vendor Cyber Rating & Cyber Score

cooptagungszentrum.ch

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Grün, natur- und stadtnah: das Coop Tagungszentrum In Muttenz, ganz in der Nähe von Basel, heissen wir Sie in unserem Seminar- und Tagungshotel ganz herzlich willkommen. Das vielseitige Coop Tagungszentrum bietet eine hohe Qualität, erstklassigen Service, eine abwechslungsreiche Gastronomie und eine freundliche Atmosphäre. Ob Sie eine Veranstaltung besuchen, übernachten möchten oder für ein genussvolles Essen bleiben: Wir freuen uns auf Sie! Tagen – Alles, was Sie für Ihren Erfolg brauchen Topmodern ausgerüstet und flexibel für geschäftliche und private Veranstaltungen: Das Coop Tagungszentrum bietet mit 24 lichtdurchfluteten Räumen ideale Voraussetzungen für inspirierende Seminare, Workshops, Sitzungen und Konferenzen. Als eines

Coop Tagungszentrum A.I CyberSecurity Scoring

Scoring History

Coop Tagungszentrum

Coop Tagungszentrum CyberSecurity News & History

Past Incidents

Attack Types

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Impact

Seen

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A.I.

Coop Tagungszentrum 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 Coop Tagungszentrum

Incidents vs Hospitality Industry Avg (This Year)

No incidents recorded for Coop Tagungszentrum in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Coop Tagungszentrum in 2026.

Incident Types Coop Tagungszentrum vs Hospitality Industry Avg (This Year)

No incidents recorded for Coop Tagungszentrum in 2026.

Incident History - Coop Tagungszentrum (X = Date, Y = Severity)

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SUBSIDIARY

Coop Tagungszentrum Subsidiaries

Coop Tagungszentrum

Hospitality

Website: http://www.cooptagungszentrum.ch

Company Size: 11-50 employees

CoopRetail

Transgourmet/Prodega SchweizWholesale

InterdiscountRetail

FustRetail

Coop Pronto AGRetail

Import ParfumerieRetail Health and Personal Care Products

JUMBORetail

Coop CityRetail

railCareTruck Transportation

Christ Uhren & SchmuckRetail Luxury Goods and Jewelry

Marché Restaurants Schweiz AGFood and Beverage Services

Steinfels SwissPersonal Care Product Manufacturing

update Fitness AGWellness and Fitness Services

LIVIQUERetail

ITS Coop TravelTravel Arrangements

Hôtel du LémanHospitality

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NEWS

Coop Tagungszentrum 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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