What is the official website of Marionnaud Austria ?

The official website of Marionnaud Austria is https://careers.marionnaud.com/austria.html.

What is Marionnaud Austria's cybersecurity risk score?

Marionnaud Austria has an AI-generated cybersecurity risk score of 755 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Marionnaud Austria experienced?

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

Has Marionnaud Austria been affected by any supply chain cyber incidents ?

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

Does Marionnaud Austria have SOC 2 Type 1 certification ?

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

Does Marionnaud Austria have SOC 2 Type 2 certification ?

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

Does Marionnaud Austria comply with GDPR ?

According to Rankiteo, Marionnaud Austria is not listed as GDPR compliant.

Does Marionnaud Austria have PCI DSS certification ?

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

Does Marionnaud Austria comply with HIPAA ?

According to Rankiteo, Marionnaud Austria is not compliant with HIPAA regulations.

Does Marionnaud Austria have ISO 27001 certification ?

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

Which industry does Marionnaud Austria operate in ?

Marionnaud Austria operates primarily in the Retail Health and Personal Care Products industry.

How many employees does Marionnaud Austria have ?

Marionnaud Austria employs approximately None employees people worldwide.

Does Marionnaud Austria own any subsidiaries ?

Marionnaud Austria presently has no subsidiaries across any sectors.

How many LinkedIn followers does Marionnaud Austria have ?

Marionnaud Austria's official LinkedIn profile has approximately 630 followers.

What is the NAICS classification code for Marionnaud Austria ?

Marionnaud Austria is classified under the NAICS code 446, which corresponds to Health and Personal Care Stores.

Does Marionnaud Austria have a Crunchbase profile ?

No, Marionnaud Austria does not have a profile on Crunchbase.

Does Marionnaud Austria have a LinkedIn profile ?

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

How many cybersecurity incidents has Marionnaud Austria experienced ?

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

How many peer or competitor companies does Marionnaud Austria have ?

Marionnaud Austria has an estimated 258 peer or competitor companies worldwide.

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Marionnaud Austria

Boost Score +25 with badge (5 left)

755

/1000

Fair

780

/1000

Fair

Marionnaud Austria Vendor Cyber Rating & Cyber Score

marionnaud.com

Add Your Compliance Badge

Wir sind ein internationales Unternehmen, welches sich von einer kleinen Pariser Parfümerie zu einem Marktführer entwickelt hat und in der Wien über 400 Mitarbeitende beschäftigt, verteilt auf über 70 Filialen und den Hauptsitz. Bei uns steht Schönheit in sämtlichen Facetten im Vordergrund. Unser vielseitiges Sortiment sowie unsere Leidenschaft, jedem Kunden ein Lächeln ins Gesicht zu zaubern, zeichnet uns aus. Wir leben und lieben unsere Werte «Vertrauen, Individualität, Professionalität» und dies nicht nur gegenüber unseren Kunden, sondern auch gegenüber unseren Kollegen und Geschäftspartnern. Marionnaud ist eine Tochtergesellschaft des renommierten, multinationalen Mischkonzerns CK Hutchinson, welcher an der Hongkonger Aktienbörse

Marionnaud Austria A.I CyberSecurity Scoring

Scoring History

Marionnaud Austria

Marionnaud Austria 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.

Marionnaud Austria 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 Marionnaud Austria

Incidents vs Retail Health and Personal Care Products Industry Avg (This Year)

No incidents recorded for Marionnaud Austria in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Marionnaud Austria in 2026.

Incident Types Marionnaud Austria vs Retail Health and Personal Care Products Industry Avg (This Year)

No incidents recorded for Marionnaud Austria in 2026.

Incident History - Marionnaud Austria (X = Date, Y = Severity)

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SUBSIDIARY

Marionnaud Austria Subsidiaries

Parent Company

Marionnaud Austria

Retail Health and Personal Care Products

Website: https://careers.marionnaud.com/austria.html

Company Size: 201-500 employees

No subsidiary data available for this company.

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Marionnaud Austria Similar Companies

Amplifon

cb listen-responsibly.com

As the global leader in the hearing care retail industry, we have been changing the lives of millions of customers across the globe since 1950. With stores and offices spanning across 26 countries and a team of 20,300 dedicated professionals, we take pride in setting the industry standard as we empower people to rediscover all the emotions of sound. Amplifon operates in: Argentina, Australia, Belgium, Canada, Chile, China, Colombia, Ecuador, Egypt, France, Germany, Hungary, India, Israel, Italy, Mexico, New Zealand, Panama, Poland, Portugal, Spain, Switzerland, the Netherlands, UK, United States, and Uruguay. Read our Netiquette and help us create an inclusive environment to interact within: https://corporate.amplifon.com/en/netiquette?formSearchPage=true

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NEWS

Marionnaud Austria CyberSecurity News

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

October 05, 2023 07:00 AM

Revieve and Marionnaud Introduce the Digital Haircare Advisor, Setting New Standards for Personalized Hair Care Excellence

HELSINKI & CHICAGO--(BUSINESS WIRE)--Revieve®, a personalized digital brand experience company working with global brands, retailers,...

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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