What is the official website of Barberini®️ ?

The official website of Barberini®️ is https://www.barberinilenses.com/en?cid=ST-SLI_240100-BaLI_linkInBio.

What is Barberini®️'s cybersecurity risk score?

Barberini®️ has an AI-generated cybersecurity risk score of 761 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Barberini®️ experienced?

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

Has Barberini®️ been affected by any supply chain cyber incidents ?

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

Does Barberini®️ have SOC 2 Type 1 certification ?

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

Does Barberini®️ have SOC 2 Type 2 certification ?

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

Does Barberini®️ comply with GDPR ?

According to Rankiteo, Barberini®️ is not listed as GDPR compliant.

Does Barberini®️ have PCI DSS certification ?

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

Does Barberini®️ comply with HIPAA ?

According to Rankiteo, Barberini®️ is not compliant with HIPAA regulations.

Does Barberini®️ have ISO 27001 certification ?

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

Which industry does Barberini®️ operate in ?

Barberini®️ operates primarily in the Manufacturing industry.

How many employees does Barberini®️ have ?

Barberini®️ employs approximately None employees people worldwide.

Does Barberini®️ own any subsidiaries ?

Barberini®️ presently has no subsidiaries across any sectors.

How many LinkedIn followers does Barberini®️ have ?

Barberini®️'s official LinkedIn profile has approximately 478 followers.

What is the NAICS classification code for Barberini®️ ?

Barberini®️ is classified under the NAICS code 30, which corresponds to Manufacturing.

Does Barberini®️ have a Crunchbase profile ?

No, Barberini®️ does not have a profile on Crunchbase.

Does Barberini®️ have a LinkedIn profile ?

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

How many cybersecurity incidents has Barberini®️ experienced ?

As of June 23, 2026, Rankiteo reports that Barberini®️ has experienced 6 cybersecurity incidents.

How many peer or competitor companies does Barberini®️ have ?

Barberini®️ has an estimated 8,154 peer or competitor companies worldwide.

What types of cybersecurity incidents has Barberini®️ faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Ransomware, Breach and Cyber Attack.

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Barberini®️

Boost Score +25 with badge (5 left)

761

/1000

Fair

786

/1000

Fair

Barberini®️ Vendor Cyber Rating & Cyber Score

https://www.barberinilenses.com/en?cid=ST-SLI_240100-BaLI_linkInBio

Add Your Compliance Badge

Advanced lens solutions in every material for any context, from everyday use to the most extreme performance.

Barberini®️ A.I CyberSecurity Scoring

Scoring History

Barberini®️

Barberini®️ CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Barberini®️

Breach

100

05/2023

LUX52424923

Barberini®️

Ransomware

10/2020

LUX202211222

Barberini®️

Cyber Attack

8/2020

ESS023091825

Barberini®️

Breach

6/2020

EYE480244810072...

Barberini®️

Breach

5/2020

FGX254071625

Barberini®️

Cyber Attack

9/2018

EYE249072825

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A.I.

Barberini®️ 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 Barberini®️

Incidents vs Manufacturing Industry Avg (This Year)

No incidents recorded for Barberini®️ in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Barberini®️ in 2026.

Incident Types Barberini®️ vs Manufacturing Industry Avg (This Year)

No incidents recorded for Barberini®️ in 2026.

Incident History - Barberini®️ (X = Date, Y = Severity)

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SUBSIDIARY

Barberini®️ Subsidiaries

Barberini®️

Manufacturing

Website: https://www.barberinilenses.com/en?cid=ST-SLI_240100-BaLI_linkInBio

Company Size: 501-1,000 employees

EssilorLuxotticaManufacturing

OneSight EssilorLuxottica FoundationHospitals and Health Care

FGX InternationalManufacturing

SightProtect by EssilorLuxotticaMedical Equipment Manufacturing

OneSight EssilorLuxottica Foundation EUROPENon-profit Organizations

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NEWS

Barberini®️ CyberSecurity News

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

April 03, 2018 07:00 AM

Several wounded, one dead in shooting at YouTube headquarters

At 12:46PM, an active shooter was reported in an outdoor patio area at YouTube's headquarters in San Bruno, California.

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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