What is the official website of Malouf Home ?

The official website of Malouf Home is http://maloufhome.com.

What is Malouf Home's cybersecurity risk score?

Malouf Home has an AI-generated cybersecurity risk score of 723 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Malouf Home experienced?

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

Has Malouf Home been affected by any supply chain cyber incidents ?

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

Does Malouf Home have SOC 2 Type 1 certification ?

According to Rankiteo, Malouf Home is not certified under SOC 2 Type 1.

Does Malouf Home have SOC 2 Type 2 certification ?

According to Rankiteo, Malouf Home does not hold a SOC 2 Type 2 certification.

Does Malouf Home comply with GDPR ?

According to Rankiteo, Malouf Home is not listed as GDPR compliant.

Does Malouf Home have PCI DSS certification ?

According to Rankiteo, Malouf Home does not currently maintain PCI DSS compliance.

Does Malouf Home comply with HIPAA ?

According to Rankiteo, Malouf Home is not compliant with HIPAA regulations.

Does Malouf Home have ISO 27001 certification ?

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

Which industry does Malouf Home operate in ?

Malouf Home operates primarily in the Manufacturing industry.

How many employees does Malouf Home have ?

Malouf Home employs approximately 143 people worldwide.

Does Malouf Home own any subsidiaries ?

Malouf Home presently has no subsidiaries across any sectors.

How many LinkedIn followers does Malouf Home have ?

Malouf Home's official LinkedIn profile has approximately 11,719 followers.

What is the NAICS classification code for Malouf Home ?

Malouf Home is classified under the NAICS code 30, which corresponds to Manufacturing.

Does Malouf Home have a Crunchbase profile ?

No, Malouf Home does not have a profile on Crunchbase.

Does Malouf Home have a LinkedIn profile ?

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

How many cybersecurity incidents has Malouf Home experienced ?

As of June 23, 2026, Rankiteo reports that Malouf Home has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Malouf Home have ?

Malouf Home has an estimated 8,154 peer or competitor companies worldwide.

What types of cybersecurity incidents has Malouf Home faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Breach.

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Malouf Home

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723

/1000

Moderate

748

/1000

Moderate

Malouf Home Vendor Cyber Rating & Cyber Score

maloufhome.com

Add Your Compliance Badge

We lead the furniture and bedding industry with a wide selection of innovative products, including furniture, mattresses, adjustable bed bases, pillows, sheets, mattress protectors, bed frames and mattress toppers. Together with sister brands Salt Flat™ and Weekender™, we commit to quality, competitive pricing, and service through a comprehensive product catalog that satisfies a variety of customers.

Malouf Home A.I CyberSecurity Scoring

Scoring History

Malouf Home

Malouf Home CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Malouf Home

Breach

9/2023

MAL258072925

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A.I.

Malouf Home 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 Malouf Home

Incidents vs Manufacturing Industry Avg (This Year)

No incidents recorded for Malouf Home in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Malouf Home in 2026.

Incident Types Malouf Home vs Manufacturing Industry Avg (This Year)

No incidents recorded for Malouf Home in 2026.

Incident History - Malouf Home (X = Date, Y = Severity)

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SUBSIDIARY

Malouf Home Subsidiaries

Parent Company

Malouf Home

Manufacturing

Website: http://maloufhome.com

Company Size: 143

No subsidiary data available for this company.

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NEWS

Malouf Home CyberSecurity News

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

August 10, 2021 07:00 AM

Malouf Companies Investing $47.2M In South Carolina

Home furnishings and consumer goods company Malouf will create 240 jobs at its Laurens County, SC warehousing and distribution facility.

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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