What is the official website of Freudenberg Performance Materials ?

The official website of Freudenberg Performance Materials is http://www.freudenberg-pm.com.

What is Freudenberg Performance Materials's cybersecurity risk score?

Freudenberg Performance Materials has an AI-generated cybersecurity risk score of 762 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Freudenberg Performance Materials experienced?

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

Has Freudenberg Performance Materials been affected by any supply chain cyber incidents ?

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

Does Freudenberg Performance Materials have SOC 2 Type 1 certification ?

According to Rankiteo, Freudenberg Performance Materials is not certified under SOC 2 Type 1.

Does Freudenberg Performance Materials have SOC 2 Type 2 certification ?

According to Rankiteo, Freudenberg Performance Materials does not hold a SOC 2 Type 2 certification.

Does Freudenberg Performance Materials comply with GDPR ?

According to Rankiteo, Freudenberg Performance Materials is not listed as GDPR compliant.

Does Freudenberg Performance Materials have PCI DSS certification ?

According to Rankiteo, Freudenberg Performance Materials does not currently maintain PCI DSS compliance.

Does Freudenberg Performance Materials comply with HIPAA ?

According to Rankiteo, Freudenberg Performance Materials is not compliant with HIPAA regulations.

Does Freudenberg Performance Materials have ISO 27001 certification ?

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

Which industry does Freudenberg Performance Materials operate in ?

Freudenberg Performance Materials operates primarily in the Textile Manufacturing industry.

How many employees does Freudenberg Performance Materials have ?

Freudenberg Performance Materials employs approximately 1,950 people worldwide.

Does Freudenberg Performance Materials own any subsidiaries ?

Freudenberg Performance Materials presently has no subsidiaries across any sectors.

How many LinkedIn followers does Freudenberg Performance Materials have ?

Freudenberg Performance Materials's official LinkedIn profile has approximately 29,433 followers.

What is the NAICS classification code for Freudenberg Performance Materials ?

Freudenberg Performance Materials is classified under the NAICS code 313, which corresponds to Textile Mills.

Does Freudenberg Performance Materials have a Crunchbase profile ?

No, Freudenberg Performance Materials does not have a profile on Crunchbase.

Does Freudenberg Performance Materials have a LinkedIn profile ?

Yes, Freudenberg Performance Materials maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/freudenberg-performance-materials.

How many cybersecurity incidents has Freudenberg Performance Materials experienced ?

As of June 23, 2026, Rankiteo reports that Freudenberg Performance Materials has not experienced any cybersecurity incidents.

How many peer or competitor companies does Freudenberg Performance Materials have ?

Freudenberg Performance Materials has an estimated 2,206 peer or competitor companies worldwide.

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762

/1000

Fair

787

/1000

Fair

Freudenberg Performance Materials Vendor Cyber Rating & Cyber Score

freudenberg-pm.com

Add Your Compliance Badge

Freudenberg Performance Materials is a leading global supplier of innovative technical textiles for a broad range of markets and applications such as apparel, bags & footwear, building, civil engineering, energy, filtermedia, healthcare, household & living, industrial & manufacturing, mobility & transport, as well as coated technical textiles. In 2024, the company generated sales of more than €1.4 billion, operated 36 production sites in 15 countries around the world and had around 5,000 employees. Freudenberg Performance Materials attaches great importance to social and ecological responsibility as the basis for its business success. For more information, please visit www.freudenberg-pm.com In 2024, the Freudenberg Group employed more

FPM A.I CyberSecurity Scoring

Scoring History

FPM

Freudenberg Performance Materials CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

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Impact

Seen

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Incident Details

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No data available

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A.I.

FPM 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 FPM

Incidents vs Textile Manufacturing Industry Avg (This Year)

No incidents recorded for Freudenberg Performance Materials in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Freudenberg Performance Materials in 2026.

Incident Types FPM vs Textile Manufacturing Industry Avg (This Year)

No incidents recorded for Freudenberg Performance Materials in 2026.

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

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SUBSIDIARY

Freudenberg Performance Materials Subsidiaries

FPM

Textile Manufacturing

Website: http://www.freudenberg-pm.com

Company Size: 5,001-10,000 employees

Freudenberg GroupMotor Vehicle Manufacturing

Mehler Texnologies®Textile Manufacturing

Enka Solutions by Freudenberg Performance MaterialsTextile Manufacturing

comfortemp by Freudenberg Performance MaterialsTextile Manufacturing

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Freudenberg Performance Materials Similar Companies

Shaw Industries

shawinc.com

Shaw Industries Group, Inc. is a leader in flooring and other surface solutions designed for residential housing, commercial spaces and outdoor environments. Leveraging strengths in design, innovation and operational excellence, the company takes a people-centered, customer-focused, and growth-minded approach to meet diverse market needs. It creates differentiated customer experiences through its expansive portfolio of brands: Anderson Tuftex, COREtec, Shaw Floors, Patcraft, Philadelphia Commercial, Shaw Contract, Shaw Sports Turf, Shawgrass, Southwest Greens, Watershed Geo and more. Headquartered in Dalton, Georgia, Shaw is a wholly owned subsidiary of Berkshire Hathaway, Inc. with approximately $6 billion in annual sales and 18,000 associates worldwide. Interested in a career with Shaw? Browse open positions at https://careers.shawinc.com/.

Mohawk Industries

linktr.ee

Are you looking for more? At Mohawk Industries, we’re committed to more – more customer solutions, more process improvements, more sustainable manufacturing and more opportunities for our team. As a Fortune 500 global flooring leader with some of the best-known brands in the industry, Mohawk is a great place to start or develop your career with an emphasis on more of what’s important to you. Whether you want to lead more, innovate more, learn more or create more, you can find your more with Mohawk.

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NEWS

Freudenberg Performance Materials CyberSecurity News

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

January 30, 2023 08:00 AM

Fabrics Made Out of Recycled Plastic

Freudenberg Performance Materials' Evolon®, which is used in packaging is now being made from used consumer PET bottles.

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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