What is the official website of ASSA ABLOY ACCENTRA™, formerly Yale Commercial ?

The official website of ASSA ABLOY ACCENTRA™, formerly Yale Commercial is https://www.accentra-assaabloy.com/en.

What is ASSA ABLOY ACCENTRA™, formerly Yale Commercial's cybersecurity risk score?

ASSA ABLOY ACCENTRA™, formerly Yale Commercial has an AI-generated cybersecurity risk score of 758 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has ASSA ABLOY ACCENTRA™, formerly Yale Commercial experienced?

According to Rankiteo, ASSA ABLOY ACCENTRA™, formerly Yale Commercial currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has ASSA ABLOY ACCENTRA™, formerly Yale Commercial been affected by any supply chain cyber incidents ?

According to Rankiteo, ASSA ABLOY ACCENTRA™, formerly Yale Commercial has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does ASSA ABLOY ACCENTRA™, formerly Yale Commercial have SOC 2 Type 1 certification ?

According to Rankiteo, ASSA ABLOY ACCENTRA™, formerly Yale Commercial is not certified under SOC 2 Type 1.

Does ASSA ABLOY ACCENTRA™, formerly Yale Commercial have SOC 2 Type 2 certification ?

According to Rankiteo, ASSA ABLOY ACCENTRA™, formerly Yale Commercial does not hold a SOC 2 Type 2 certification.

Does ASSA ABLOY ACCENTRA™, formerly Yale Commercial comply with GDPR ?

According to Rankiteo, ASSA ABLOY ACCENTRA™, formerly Yale Commercial is not listed as GDPR compliant.

Does ASSA ABLOY ACCENTRA™, formerly Yale Commercial have PCI DSS certification ?

According to Rankiteo, ASSA ABLOY ACCENTRA™, formerly Yale Commercial does not currently maintain PCI DSS compliance.

Does ASSA ABLOY ACCENTRA™, formerly Yale Commercial comply with HIPAA ?

According to Rankiteo, ASSA ABLOY ACCENTRA™, formerly Yale Commercial is not compliant with HIPAA regulations.

Does ASSA ABLOY ACCENTRA™, formerly Yale Commercial have ISO 27001 certification ?

According to Rankiteo,ASSA ABLOY ACCENTRA™, formerly Yale Commercial is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does ASSA ABLOY ACCENTRA™, formerly Yale Commercial operate in ?

ASSA ABLOY ACCENTRA™, formerly Yale Commercial operates primarily in the Construction Hardware Manufacturing industry.

How many employees does ASSA ABLOY ACCENTRA™, formerly Yale Commercial have ?

ASSA ABLOY ACCENTRA™, formerly Yale Commercial employs approximately None employees people worldwide.

Does ASSA ABLOY ACCENTRA™, formerly Yale Commercial own any subsidiaries ?

ASSA ABLOY ACCENTRA™, formerly Yale Commercial presently has no subsidiaries across any sectors.

How many LinkedIn followers does ASSA ABLOY ACCENTRA™, formerly Yale Commercial have ?

ASSA ABLOY ACCENTRA™, formerly Yale Commercial's official LinkedIn profile has approximately 9,509 followers.

What is the NAICS classification code for ASSA ABLOY ACCENTRA™, formerly Yale Commercial ?

ASSA ABLOY ACCENTRA™, formerly Yale Commercial is classified under the NAICS code 3325, which corresponds to Hardware Manufacturing.

Does ASSA ABLOY ACCENTRA™, formerly Yale Commercial have a Crunchbase profile ?

No, ASSA ABLOY ACCENTRA™, formerly Yale Commercial does not have a profile on Crunchbase.

Does ASSA ABLOY ACCENTRA™, formerly Yale Commercial have a LinkedIn profile ?

Yes, ASSA ABLOY ACCENTRA™, formerly Yale Commercial maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/assa-abloy-accentra.

How many cybersecurity incidents has ASSA ABLOY ACCENTRA™, formerly Yale Commercial experienced ?

As of June 23, 2026, Rankiteo reports that ASSA ABLOY ACCENTRA™, formerly Yale Commercial has not experienced any cybersecurity incidents.

How many peer or competitor companies does ASSA ABLOY ACCENTRA™, formerly Yale Commercial have ?

ASSA ABLOY ACCENTRA™, formerly Yale Commercial has an estimated 26 peer or competitor companies worldwide.

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AAAFYC

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758

/1000

Fair

783

/1000

Fair

ASSA ABLOY ACCENTRA™, formerly Yale Commercial Vendor Cyber Rating & Cyber Score

accentra-assaabloy.com

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ASSA ABLOY ACCENTRA makes access and egress simple for commercial, multi-family, and institutional facilities. We offer a comprehensive range of door opening products, locks, exit devices, and digital access solutions that are trusted to protect the facilities of today and tomorrow. ACCENTRA is backed by a tenured team of consultative experts with a deep understanding of what matters most in your building—from high-performance durability to unmatched security and access management. Working within a security continuum, we equip you with the services and solutions you need to increase the security, life safety, and convenience of your facility. * * * On June 20, 2023, ASSA ABLOY announced its acquisition of the Hardware and Home

AAAFYC A.I CyberSecurity Scoring

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AAAFYC

ASSA ABLOY ACCENTRA™, formerly Yale Commercial CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

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Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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A.I.

AAAFYC 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 AAAFYC

Incidents vs Construction Hardware Manufacturing Industry Avg (This Year)

No incidents recorded for ASSA ABLOY ACCENTRA™, formerly Yale Commercial in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for ASSA ABLOY ACCENTRA™, formerly Yale Commercial in 2026.

Incident Types AAAFYC vs Construction Hardware Manufacturing Industry Avg (This Year)

No incidents recorded for ASSA ABLOY ACCENTRA™, formerly Yale Commercial in 2026.

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

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SUBSIDIARY

ASSA ABLOY ACCENTRA™, formerly Yale Commercial Subsidiaries

Parent Company

AAAFYC

Construction Hardware Manufacturing

Website: https://www.accentra-assaabloy.com/en

Company Size: 201-500 employees

No subsidiary data available for this company.

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NEWS

ASSA ABLOY ACCENTRA™, formerly Yale Commercial 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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