What is the official website of INEOS Calabrian ?

The official website of INEOS Calabrian is https://www.ineos.com/businesses/ineos-enterprises/businesses/ineos-calabrian/.

What is INEOS Calabrian's cybersecurity risk score?

INEOS Calabrian has an AI-generated cybersecurity risk score of 752 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has INEOS Calabrian experienced?

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

Has INEOS Calabrian been affected by any supply chain cyber incidents ?

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

Does INEOS Calabrian have SOC 2 Type 1 certification ?

According to Rankiteo, INEOS Calabrian is not certified under SOC 2 Type 1.

Does INEOS Calabrian have SOC 2 Type 2 certification ?

According to Rankiteo, INEOS Calabrian does not hold a SOC 2 Type 2 certification.

Does INEOS Calabrian comply with GDPR ?

According to Rankiteo, INEOS Calabrian is not listed as GDPR compliant.

Does INEOS Calabrian have PCI DSS certification ?

According to Rankiteo, INEOS Calabrian does not currently maintain PCI DSS compliance.

Does INEOS Calabrian comply with HIPAA ?

According to Rankiteo, INEOS Calabrian is not compliant with HIPAA regulations.

Does INEOS Calabrian have ISO 27001 certification ?

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

Which industry does INEOS Calabrian operate in ?

INEOS Calabrian operates primarily in the Chemical Manufacturing industry.

How many employees does INEOS Calabrian have ?

INEOS Calabrian employs approximately 53 people worldwide.

Does INEOS Calabrian own any subsidiaries ?

INEOS Calabrian presently has no subsidiaries across any sectors.

How many LinkedIn followers does INEOS Calabrian have ?

INEOS Calabrian's official LinkedIn profile has approximately 1,940 followers.

What is the NAICS classification code for INEOS Calabrian ?

INEOS Calabrian is classified under the NAICS code 325, which corresponds to Chemical Manufacturing.

Does INEOS Calabrian have a Crunchbase profile ?

No, INEOS Calabrian does not have a profile on Crunchbase.

Does INEOS Calabrian have a LinkedIn profile ?

Yes, INEOS Calabrian maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/calabrian-corporation.

How many cybersecurity incidents has INEOS Calabrian experienced ?

As of June 23, 2026, Rankiteo reports that INEOS Calabrian has experienced 1 cybersecurity incidents.

How many peer or competitor companies does INEOS Calabrian have ?

INEOS Calabrian has an estimated 4,390 peer or competitor companies worldwide.

What types of cybersecurity incidents has INEOS Calabrian faced ?

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

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INEOS Calabrian

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752

/1000

Fair

777

/1000

Fair

INEOS Calabrian Vendor Cyber Rating & Cyber Score

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INEOS CALABRIAN VISION STATEMENT: Innovative sulfur technology leader providing environmental and supply chain solutions for customers in the water, mining, and oilfield markets. INEOS Calabrian is a leading supplier of sulfur dioxide and related derivatives used in wastewater treatment and other applications. The Company manufactures sulfur dioxide and downstream derivatives such as sodium bisulfite, sodium metabisulfite and sodium thiosulfate in its integrated manufacturing facility in Port Neches, TX, and serves markets in North and South America. Its products are used in a broad range of industrial and municipal wastewater treatment applications to achieve compliance with federal and local water regulations, as well as other

INEOS Calabrian A.I CyberSecurity Scoring

Scoring History

INEOS Calabrian

INEOS Calabrian CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

INEOS Calabrian

Ransomware

100

8/2021

SI-553072525

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A.I.

INEOS Calabrian 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 INEOS Calabrian

Incidents vs Chemical Manufacturing Industry Avg (This Year)

No incidents recorded for INEOS Calabrian in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for INEOS Calabrian in 2026.

Incident Types INEOS Calabrian vs Chemical Manufacturing Industry Avg (This Year)

No incidents recorded for INEOS Calabrian in 2026.

Incident History - INEOS Calabrian (X = Date, Y = Severity)

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SUBSIDIARY

INEOS Calabrian Subsidiaries

INEOS Calabrian

Chemical Manufacturing

Website: https://www.ineos.com/businesses/ineos-enterprises/businesses/ineos-calabrian/

Company Size: 51-200 employees

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Apotex Pharmachem Inc.Pharmaceutical Manufacturing

ApobiologixBiotechnology Research

Apotex Inc. - QuébecPharmaceutical Manufacturing

ArchromaChemical Manufacturing

Color Atlas by ArchromaTextilherstellung

HeubachChemical Manufacturing

SEQENSPharmaceutical Manufacturing

SEQENS Pharmaceutical SolutionsPharmaceutical Manufacturing

SEQENS Personal CarePersonal Care Product Manufacturing

Ascend Performance MaterialsChemical Manufacturing

Acteev By AscendTextile Manufacturing

SI GroupChemical Manufacturing

Careers at SI GroupChemical Manufacturing

TPC GroupChemical Manufacturing

Valtris Specialty ChemicalsChemical Manufacturing

GEON Performance SolutionsPlastics Manufacturing

Isolatek InternationalWholesale Building Materials

Tilley DistributionChemical Manufacturing

EcopolPackaging and Containers Manufacturing

Noramco™Pharmaceutical Manufacturing

Luxium SolutionsManufacturing

Lacerta Group, LLC.Packaging and Containers Manufacturing

DeltechChemical Manufacturing

Woodstock Sterile SolutionsPharmaceutical Manufacturing

J&K IngredientsFood and Beverage Manufacturing

Foremark Performance ChemicalsChemical Manufacturing

Florachem CorporationChemical Manufacturing

VanDeMark Chemical IncChemical Manufacturing

CanlakChemical Manufacturing

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NEWS

INEOS Calabrian 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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