What is the official website of Argotec ?

The official website of Argotec is https://argotec.com.

What is Argotec's cybersecurity risk score?

Argotec has an AI-generated cybersecurity risk score of 758 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Argotec experienced?

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

Has Argotec been affected by any supply chain cyber incidents ?

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

Does Argotec have SOC 2 Type 1 certification ?

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

Does Argotec have SOC 2 Type 2 certification ?

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

Does Argotec comply with GDPR ?

According to Rankiteo, Argotec is not listed as GDPR compliant.

Does Argotec have PCI DSS certification ?

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

Does Argotec comply with HIPAA ?

According to Rankiteo, Argotec is not compliant with HIPAA regulations.

Does Argotec have ISO 27001 certification ?

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

Which industry does Argotec operate in ?

Argotec operates primarily in the Manufacturing industry.

How many employees does Argotec have ?

Argotec employs approximately 12 people worldwide.

Does Argotec own any subsidiaries ?

Argotec presently has no subsidiaries across any sectors.

How many LinkedIn followers does Argotec have ?

Argotec's official LinkedIn profile has approximately 823 followers.

What is the NAICS classification code for Argotec ?

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

Does Argotec have a Crunchbase profile ?

No, Argotec does not have a profile on Crunchbase.

Does Argotec have a LinkedIn profile ?

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

How many cybersecurity incidents has Argotec experienced ?

As of June 23, 2026, Rankiteo reports that Argotec has experienced 2 cybersecurity incidents.

How many peer or competitor companies does Argotec have ?

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

What types of cybersecurity incidents has Argotec faced ?

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

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Argotec

Boost Score +25 with badge (5 left)

758

/1000

Fair

783

/1000

Fair

Argotec Vendor Cyber Rating & Cyber Score

argotec.com

Add Your Compliance Badge

Argotec, a Mativ brand, is the leading global manufacturer of high-quality extruded plastic sheets and films. We offer innovative polymer performance technologies such as flat-die, cast-on-carrier, blown-film extrusion, and multilayer construction to produce high-quality components for a wide variety of critical applications. Whether you need a standard application grade or custom film development, our experts have the knowledge and experience to work with your specifications. As the leading global supplier of custom-engineered, high-performance thermoplastic polyurethane (TPU) films, Argotec serves a wide variety of industries with best-in-class products. Our extensive line of premium films are used in glass lamination, graphic films,

Argotec A.I CyberSecurity Scoring

Scoring History

Argotec

Argotec CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Argotec

Cyber Attack

10/2022

MAT215931122

Argotec

Breach

6/2022

MAT508072625

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A.I.

Argotec 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 Argotec

Incidents vs Manufacturing Industry Avg (This Year)

No incidents recorded for Argotec in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Argotec in 2026.

Incident Types Argotec vs Manufacturing Industry Avg (This Year)

No incidents recorded for Argotec in 2026.

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

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SUBSIDIARY

Argotec Subsidiaries

Argotec

Manufacturing

Website: https://argotec.com

Company Size: 1,001-5,000 employees

MativManufacturing

Neenah Fine Paper & PackagingManufacturing

Scapa HealthcareMedical Equipment Manufacturing

Scapa IndustrialChemical Manufacturing

ITASAPaper and Forest Product Manufacturing

Itasa labelsFabricación de papel y productos forestales

Itasa compositesProductos de papel y forestales

GESSNERManufacturing

TekraPlastics Manufacturing

IndaforManufacturing

ConwedManufacturing

Red BridgeManufacturing

CoretecPlastics Manufacturing

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NEWS

Argotec 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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