What is the official website of Nippon Paint Industrial Group ?

The official website of Nippon Paint Industrial Group is https://nipponpaint-industrialgroup.com.tr.

What is Nippon Paint Industrial Group's cybersecurity risk score?

Nippon Paint Industrial Group has an AI-generated cybersecurity risk score of 749 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Nippon Paint Industrial Group experienced?

According to Rankiteo, Nippon Paint Industrial Group currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Nippon Paint Industrial Group been affected by any supply chain cyber incidents ?

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

Does Nippon Paint Industrial Group have SOC 2 Type 1 certification ?

According to Rankiteo, Nippon Paint Industrial Group is not certified under SOC 2 Type 1.

Does Nippon Paint Industrial Group have SOC 2 Type 2 certification ?

According to Rankiteo, Nippon Paint Industrial Group does not hold a SOC 2 Type 2 certification.

Does Nippon Paint Industrial Group comply with GDPR ?

According to Rankiteo, Nippon Paint Industrial Group is not listed as GDPR compliant.

Does Nippon Paint Industrial Group have PCI DSS certification ?

According to Rankiteo, Nippon Paint Industrial Group does not currently maintain PCI DSS compliance.

Does Nippon Paint Industrial Group comply with HIPAA ?

According to Rankiteo, Nippon Paint Industrial Group is not compliant with HIPAA regulations.

Does Nippon Paint Industrial Group have ISO 27001 certification ?

According to Rankiteo,Nippon Paint Industrial Group is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Nippon Paint Industrial Group operate in ?

Nippon Paint Industrial Group operates primarily in the Chemical Manufacturing industry.

How many employees does Nippon Paint Industrial Group have ?

Nippon Paint Industrial Group employs approximately 3 people worldwide.

Does Nippon Paint Industrial Group own any subsidiaries ?

Nippon Paint Industrial Group presently has no subsidiaries across any sectors.

How many LinkedIn followers does Nippon Paint Industrial Group have ?

Nippon Paint Industrial Group's official LinkedIn profile has approximately 2,193 followers.

Does Nippon Paint Industrial Group have a Crunchbase profile ?

No, Nippon Paint Industrial Group does not have a profile on Crunchbase.

Does Nippon Paint Industrial Group have a LinkedIn profile ?

Yes, Nippon Paint Industrial Group maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/nippon-paint-endustriyel-grup.

How many cybersecurity incidents has Nippon Paint Industrial Group experienced ?

As of June 23, 2026, Rankiteo reports that Nippon Paint Industrial Group has not experienced any cybersecurity incidents.

How many peer or competitor companies does Nippon Paint Industrial Group have ?

Nippon Paint Industrial Group has an estimated 4,390 peer or competitor companies worldwide.

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749

/1000

Moderate

774

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Fair

Nippon Paint Industrial Group Vendor Cyber Rating & Cyber Score

nipponpaint-industrialgroup.com.tr

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Founded in 1988, Turkey's leading paint manufacturer Betek Boya Kimya ve Sanayi A.Ş., aims to be the world's largest paint manufacturer by joining forces with Nippon Paint, Asia's first and the world's fourth largest paint manufacturer. INDUSTRIAL GROUP Wood Coatings Filli Boya Wood Coatings has produced from indoor wooden surface preparation to top coat products. It has developed customer-driven products following European Standards and offers healthy solutions with internationally valid certificates such as EN 71-3, DIN EN 68861-1, and DIN EN 12722. Due to the know-how agreement made with the German giant Hesse Lignal in 2019, it continues to expand its product range by developing technology. Industrial Adhesives Betek began its

NPIG A.I CyberSecurity Scoring

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NPIG

Nippon Paint Industrial Group CyberSecurity News & History

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Impact

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A.I.

NPIG 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

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Prediction B

Prediction C

Prediction D

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Underwriter Stats for NPIG

Incidents vs Chemical Manufacturing Industry Avg (This Year)

No incidents recorded for Nippon Paint Industrial Group in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Nippon Paint Industrial Group in 2026.

Incident Types NPIG vs Chemical Manufacturing Industry Avg (This Year)

No incidents recorded for Nippon Paint Industrial Group in 2026.

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

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SUBSIDIARY

Nippon Paint Industrial Group Subsidiaries

NPIG

Chemical Manufacturing

Website: https://nipponpaint-industrialgroup.com.tr

Company Size: 3

Betek Boya ve Kimya Sanayi A.Ş. (Nippon Paint- Filli Boya - Fawori - Tempo - Dalmaçyalı)Chemical Manufacturing

NIPSEA Group I Nippon PaintChemical Manufacturing

Nippon Paint IndiaChemical Manufacturing

Nippon Paint IndonesiaChemical Manufacturing

Nippon Paint MarineChemical Manufacturing

Nippon Paint Marine | Europe, Turkey & Middle EastChemical Manufacturing

PT.Nipsea paint and ChemicalsChemical Manufacturing

Nippon Paint Coatings PhilippinesChemical Manufacturing

Nippon Paint SingaporeConsumer Goods

AYDA International AwardsDesign Services

Nippon Paint VietnamChemical Manufacturing

V-tech MalaysiaChemical Manufacturing

Nippon Paint MyanmarChemical Manufacturing

Nippon Paint BangladeshChemical Manufacturing

Nippon Paint Hong KongManufacturing

Nippon Paint MalaysiaConstruction

Nippon Paint Czech Republic | AutomotiveChemical Manufacturing

Nippon Paint TaiwanWholesale Building Materials

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NEWS

Nippon Paint Industrial Group CyberSecurity News

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

June 09, 2025 07:00 AM

Top Paint Companies in India You Should Know in 2025

From Asian Paints to Indigo, explore the Top Paint Companies in India redefining homes and industries with technology-driven solutions.

Read Article

October 30, 2024 07:00 AM

- Cyprus Shipping News

Nippon Paint Marine, a leader in marine coatings, has published its whitepaper, “Breathing life into science; creating the next generation of hull coatings...

Read Article

May 15, 2023 10:18 AM

News Content Hub - Nippon Paint Marine to establish Vietnamese division

Nippon Paint Marine is expanding its coatings production to Vietnam, in response to growing demand for its marine coatings in the country.

Read Article

December 01, 2022 08:00 AM

Prior to that, take a quick look at the Indian paint industry

With a revenue of Rs 193.50 billion, Asian Paints, which was founded in 1942, is the largest Indian paint Industry in Asia. It was founded..

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November 22, 2017 08:00 AM

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July 08, 2013 07:00 AM

Chemical Thieves And Spies

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June 08, 2010 07:00 AM

Nippon Paint hires Icon for public relations in Singapore

SINGAPORE - Nippon Paint has appointed Icon International Communications as its public relations agency-of-record in Singapore following a...

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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