What is the official website of Atea Finland Oy ?

The official website of Atea Finland Oy is http://www.atea.fi.

What is Atea Finland Oy's cybersecurity risk score?

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

How many security incidents has Atea Finland Oy experienced?

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

Has Atea Finland Oy been affected by any supply chain cyber incidents ?

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

Does Atea Finland Oy have SOC 2 Type 1 certification ?

According to Rankiteo, Atea Finland Oy is not certified under SOC 2 Type 1.

Does Atea Finland Oy have SOC 2 Type 2 certification ?

According to Rankiteo, Atea Finland Oy does not hold a SOC 2 Type 2 certification.

Does Atea Finland Oy comply with GDPR ?

According to Rankiteo, Atea Finland Oy is not listed as GDPR compliant.

Does Atea Finland Oy have PCI DSS certification ?

According to Rankiteo, Atea Finland Oy does not currently maintain PCI DSS compliance.

Does Atea Finland Oy comply with HIPAA ?

According to Rankiteo, Atea Finland Oy is not compliant with HIPAA regulations.

Does Atea Finland Oy have ISO 27001 certification ?

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

Which industry does Atea Finland Oy operate in ?

Atea Finland Oy operates primarily in the IT Services and IT Consulting industry.

How many employees does Atea Finland Oy have ?

Atea Finland Oy employs approximately 501-1,000 employees people worldwide.

Does Atea Finland Oy own any subsidiaries ?

Atea Finland Oy presently has no subsidiaries across any sectors.

How many LinkedIn followers does Atea Finland Oy have ?

Atea Finland Oy's official LinkedIn profile has approximately 8,157 followers.

Does Atea Finland Oy have a Crunchbase profile ?

No, Atea Finland Oy does not have a profile on Crunchbase.

Does Atea Finland Oy have a LinkedIn profile ?

Yes, Atea Finland Oy maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/atea-finland-oy.

How many cybersecurity incidents has Atea Finland Oy experienced ?

As of June 23, 2026, Rankiteo reports that Atea Finland Oy has not experienced any cybersecurity incidents.

How many peer or competitor companies does Atea Finland Oy have ?

Atea Finland Oy has an estimated 40,783 peer or competitor companies worldwide.

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Atea Finland Oy Vendor Cyber Rating & Cyber Score

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Visiomme on olla asiakkaillemme, kumppaneillemme ja henkil√∂st√∂mme The Place to Be. Toimintakulttuuriamme kuvaavat Atean arvot ‚Äì yhteinen tahto, tekemisen meininki, rohkeus, osaaminen asiakkaan hy√∂dyksi ja uudistuminen. Kykymme palvella asiakkaitamme perustuu osaaville ja ty√∂st√§√§n innostuneille asiantuntijoille ja siksi haluamme olla vetovoimainen ty√∂nantaja kaikille ihmisille heid√§n i√§st√§√§n, sukupuolestaan, alkuper√§st√§√§n, seksuaalisesta suuntautumisestaan tai maailmankatsomuksestaan riippumatta. Haluamme olla asiakkaillemme, ty√∂ntekij√∂illemme ja kumppaneillemme The Place to Be. ‚ú® Autamme asiakkaitamme menestym√§√§n. ‚ú® Uudistamme ty√∂p√§iv√§kokemuksen. ‚ú® Mahdollistamme tieto-ohjautuvan toiminnan. ‚ú® Tuotamme

AFO A.I CyberSecurity Scoring

Scoring History

AFO

Atea Finland Oy CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

No data available

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A.I.

AFO 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 AFO

Incidents vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for Atea Finland Oy in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Atea Finland Oy in 2026.

Incident Types AFO vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for Atea Finland Oy in 2026.

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

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SUBSIDIARY

Atea Finland Oy Subsidiaries

Parent Company

AFO

IT Services and IT Consulting

Website: http://www.atea.fi

Company Size: 501-1,000 employees

No subsidiary data available for this company.

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NEWS

Atea Finland Oy CyberSecurity News

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

June 02, 2022 07:00 AM

WithSecure™ announces partner award winners at first-ever SPHERE co-security unconference

Atea, Metsys, and iOCO earn awards for exemplifying the value of good partnership in security. Helsinki, Finland – June 2, 2022: Cyber...

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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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