What is the official website of Import Parfumerie ?

The official website of Import Parfumerie is http://www.impo.ch.

What is Import Parfumerie's cybersecurity risk score?

Import Parfumerie has an AI-generated cybersecurity risk score of 756 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Import Parfumerie experienced?

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

Has Import Parfumerie been affected by any supply chain cyber incidents ?

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

Does Import Parfumerie have SOC 2 Type 1 certification ?

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

Does Import Parfumerie have SOC 2 Type 2 certification ?

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

Does Import Parfumerie comply with GDPR ?

According to Rankiteo, Import Parfumerie is not listed as GDPR compliant.

Does Import Parfumerie have PCI DSS certification ?

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

Does Import Parfumerie comply with HIPAA ?

According to Rankiteo, Import Parfumerie is not compliant with HIPAA regulations.

Does Import Parfumerie have ISO 27001 certification ?

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

Which industry does Import Parfumerie operate in ?

Import Parfumerie operates primarily in the Retail Health and Personal Care Products industry.

How many employees does Import Parfumerie have ?

Import Parfumerie employs approximately 214 people worldwide.

Does Import Parfumerie own any subsidiaries ?

Import Parfumerie presently has no subsidiaries across any sectors.

How many LinkedIn followers does Import Parfumerie have ?

Import Parfumerie's official LinkedIn profile has approximately 2,983 followers.

What is the NAICS classification code for Import Parfumerie ?

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

Does Import Parfumerie have a Crunchbase profile ?

No, Import Parfumerie does not have a profile on Crunchbase.

Does Import Parfumerie have a LinkedIn profile ?

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

How many cybersecurity incidents has Import Parfumerie experienced ?

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

How many peer or competitor companies does Import Parfumerie have ?

Import Parfumerie has an estimated 258 peer or competitor companies worldwide.

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Import Parfumerie

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756

/1000

Fair

781

/1000

Fair

Import Parfumerie Vendor Cyber Rating & Cyber Score

impo.ch

Add Your Compliance Badge

Unsere Leidenschaft: Beauty Produkte für alle! Wir sind ein Schweizer Anbieter von Prestige und Luxus-Parfum- und Pflegeprodukten sowie Kosmetika. Als Marktführer im Vollsortiment mit über 380 gelisteten Marken und über 110 Filialen bereichern wir die Schweizer Beautybranche seit unserer Gründung 1976. Mit hervorragend ausgebildeten Schönheitsexpertinnen und -experten beweisen wir höchste Fachkompetenz und bieten unserer Kundschaft nebst einer breiten Produktpalette auch eine Vielzahl exklusiver Dienstleistungen. Individuelle Weiterbildungen werden bei uns begrüsst und unterstützt. Seit 1998 gehören wir zur Coop Genossenschaft und unsere über 600 Mitarbeitende können von den vielseitigen Coop internen Aus- und Weiterbildungsangeboten

Import Parfumerie A.I CyberSecurity Scoring

Scoring History

Import Parfumerie

Import Parfumerie CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

No data available

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A.I.

Import Parfumerie 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 Import Parfumerie

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

No incidents recorded for Import Parfumerie in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Import Parfumerie in 2026.

Incident Types Import Parfumerie vs Retail Health and Personal Care Products Industry Avg (This Year)

No incidents recorded for Import Parfumerie in 2026.

Incident History - Import Parfumerie (X = Date, Y = Severity)

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SUBSIDIARY

Import Parfumerie Subsidiaries

Import Parfumerie

Retail Health and Personal Care Products

Website: http://www.impo.ch

Company Size: 501-1,000 employees

CoopRetail

JUMBORetail

InterdiscountRetail

Coop CityRetail

FustRetail

Transgourmet/Prodega SchweizWholesale

railCareTruck Transportation

Steinfels SwissPersonal Care Product Manufacturing

Coop Pronto AGRetail

Christ Uhren & SchmuckRetail Luxury Goods and Jewelry

LIVIQUERetail

Marché Restaurants Schweiz AGFood and Beverage Services

update Fitness AGWellness and Fitness Services

Hôtel du LémanHospitality

Coop TagungszentrumHospitality

ITS Coop TravelTravel Arrangements

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Import Parfumerie 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

Import Parfumerie 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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