What is the official website of ALEC FACADES ?

The official website of ALEC FACADES is https://www.alecfacades.com/.

What is ALEC FACADES's cybersecurity risk score?

ALEC FACADES has an AI-generated cybersecurity risk score of 750 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has ALEC FACADES experienced?

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

Has ALEC FACADES been affected by any supply chain cyber incidents ?

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

Does ALEC FACADES have SOC 2 Type 1 certification ?

According to Rankiteo, ALEC FACADES is not certified under SOC 2 Type 1.

Does ALEC FACADES have SOC 2 Type 2 certification ?

According to Rankiteo, ALEC FACADES does not hold a SOC 2 Type 2 certification.

Does ALEC FACADES comply with GDPR ?

According to Rankiteo, ALEC FACADES is not listed as GDPR compliant.

Does ALEC FACADES have PCI DSS certification ?

According to Rankiteo, ALEC FACADES does not currently maintain PCI DSS compliance.

Does ALEC FACADES comply with HIPAA ?

According to Rankiteo, ALEC FACADES is not compliant with HIPAA regulations.

Does ALEC FACADES have ISO 27001 certification ?

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

Which industry does ALEC FACADES operate in ?

ALEC FACADES operates primarily in the Construction industry.

How many employees does ALEC FACADES have ?

ALEC FACADES employs approximately 42 people worldwide.

Does ALEC FACADES own any subsidiaries ?

ALEC FACADES presently has no subsidiaries across any sectors.

How many LinkedIn followers does ALEC FACADES have ?

ALEC FACADES's official LinkedIn profile has approximately 16,693 followers.

What is the NAICS classification code for ALEC FACADES ?

ALEC FACADES is classified under the NAICS code 23, which corresponds to Construction.

Does ALEC FACADES have a Crunchbase profile ?

No, ALEC FACADES does not have a profile on Crunchbase.

Does ALEC FACADES have a LinkedIn profile ?

Yes, ALEC FACADES maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/alec-facades.

How many cybersecurity incidents has ALEC FACADES experienced ?

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

How many peer or competitor companies does ALEC FACADES have ?

ALEC FACADES has an estimated 39,770 peer or competitor companies worldwide.

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ALEC FACADES

Boost Score +25 with badge (5 left)

750

/1000

Fair

775

/1000

Fair

ALEC FACADES Vendor Cyber Rating & Cyber Score

alecfacades.com

Add Your Compliance Badge

ALEC Facades - A Subsidiary of ALEC Engineering and contracting. ALEC Facades is a solutions orientated & integrated facade provider that aims at disrupting the traditional sourcing value chain for developers by partnering with experienced, cost efficient, and technologically superior building envelope providers from around the world. This approach brings world wide expertise to the GCC region, to successfully deliver turnkey building envelope packages of unlimited complexity. With our team of in-house façade designers and engineers, along with the expertise of our selected global partners, we are able to engage with architects, consultants and developers to provide solutions in accordance with design requirements, instead of adjusting the

ALEC FACADES A.I CyberSecurity Scoring

Scoring History

ALEC FACADES

ALEC FACADES CyberSecurity News & History

Past Incidents

Attack Types

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Impact

Seen

Blog Details

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A.I.

ALEC FACADES 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 ALEC FACADES

Incidents vs Construction Industry Avg (This Year)

No incidents recorded for ALEC FACADES in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for ALEC FACADES in 2026.

Incident Types ALEC FACADES vs Construction Industry Avg (This Year)

No incidents recorded for ALEC FACADES in 2026.

Incident History - ALEC FACADES (X = Date, Y = Severity)

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SUBSIDIARY

ALEC FACADES Subsidiaries

Parent Company

ALEC FACADES

Construction

Website: https://www.alecfacades.com/

Company Size: 11-50 employees

No subsidiary data available for this company.

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NEWS

ALEC FACADES CyberSecurity News

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

January 07, 2020 08:00 AM

Alec Couros on cyber security

Cyber security expert Alec Couros on the importance of regularly changing passwords as a way of preventing cyber attacks.

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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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