What is the official website of Enkom Active Oy ?

The official website of Enkom Active Oy is http://www.enkom-active.fi.

What is Enkom Active Oy's cybersecurity risk score?

Enkom Active Oy has an AI-generated cybersecurity risk score of 745 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Enkom Active Oy experienced?

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

Has Enkom Active Oy been affected by any supply chain cyber incidents ?

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

Does Enkom Active Oy have SOC 2 Type 1 certification ?

According to Rankiteo, Enkom Active Oy is not certified under SOC 2 Type 1.

Does Enkom Active Oy have SOC 2 Type 2 certification ?

According to Rankiteo, Enkom Active Oy does not hold a SOC 2 Type 2 certification.

Does Enkom Active Oy comply with GDPR ?

According to Rankiteo, Enkom Active Oy is not listed as GDPR compliant.

Does Enkom Active Oy have PCI DSS certification ?

According to Rankiteo, Enkom Active Oy does not currently maintain PCI DSS compliance.

Does Enkom Active Oy comply with HIPAA ?

According to Rankiteo, Enkom Active Oy is not compliant with HIPAA regulations.

Does Enkom Active Oy have ISO 27001 certification ?

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

Which industry does Enkom Active Oy operate in ?

Enkom Active Oy operates primarily in the Wholesale Appliances, Electrical, and Electronics industry.

How many employees does Enkom Active Oy have ?

Enkom Active Oy employs approximately 17 people worldwide.

Does Enkom Active Oy own any subsidiaries ?

Enkom Active Oy presently has no subsidiaries across any sectors.

How many LinkedIn followers does Enkom Active Oy have ?

Enkom Active Oy's official LinkedIn profile has approximately 1,071 followers.

What is the NAICS classification code for Enkom Active Oy ?

Enkom Active Oy is classified under the NAICS code 4236, which corresponds to Household Appliances and Electrical and Electronic Goods Merchant Wholesalers.

Does Enkom Active Oy have a Crunchbase profile ?

No, Enkom Active Oy does not have a profile on Crunchbase.

Does Enkom Active Oy have a LinkedIn profile ?

Yes, Enkom Active 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/enkom-active-oy.

How many cybersecurity incidents has Enkom Active Oy experienced ?

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

How many peer or competitor companies does Enkom Active Oy have ?

Enkom Active Oy has an estimated 109 peer or competitor companies worldwide.

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745

/1000

Moderate

770

/1000

Fair

Enkom Active Oy Vendor Cyber Rating & Cyber Score

enkom-active.fi

Add Your Compliance Badge

Enkom Active Oy is a value-adding distributor of electrical and communication products. Our customers are electrification industry companies, industrial manufacturers and system integrators. Our business foundation is based on excellent products and smooth logistics. However, our true value-add is coming from understanding customer operations, product knowledge and from close partnership between customers, ourselves and suppliers. We can therefore introduce the best fitted products to customers in efficient manner. We have offices in Espoo and Vaasa and more than 30-years of experience in technical distribution. Enkom Active is a part of Lagercrantz Group. Lagercrantz is B2B Tech Group offering value-creating technology in expansive

EAO A.I CyberSecurity Scoring

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EAO

Enkom Active Oy CyberSecurity News & History

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A.I.

EAO 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

A.I. Risk Score Predictions locked

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Underwriter Stats for EAO

Incidents vs Wholesale Appliances, Electrical, and Electronics Industry Avg (This Year)

No incidents recorded for Enkom Active Oy in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Enkom Active Oy in 2026.

Incident Types EAO vs Wholesale Appliances, Electrical, and Electronics Industry Avg (This Year)

No incidents recorded for Enkom Active Oy in 2026.

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

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SUBSIDIARY

Enkom Active Oy Subsidiaries

EAO

Wholesale Appliances, Electrical, and Electronics

Website: http://www.enkom-active.fi

Company Size: 11-50 employees

Lagercrantz Group ABMechanical Or Industrial Engineering

WaproIndustrial Machinery Manufacturing

Vanpee A/SAppliances, Electrical, and Electronics Manufacturing

Helvar DanmarkAppliances, Electrical, and Electronics Manufacturing

Elkapsling ABAppliances, Electrical, and Electronics Manufacturing

ExcidorAppliances, Electrical, and Electronics Manufacturing

Radonova LaboratoriesEnvironmental Services

Vanpee Norge ASAppliances, Electrical, and Electronics Manufacturing

Dooman Teknik ABCivil Engineering

Exilight OyAppliances, Electrical, and Electronics Manufacturing

EFCAppliances, Electrical, and Electronics Manufacturing

COBS ABTelecommunications

Elfac A/SAppliances, Electrical, and Electronics Manufacturing

ACTE A/SIT Services and IT Consulting

ACTE RAILTruck Transportation

Direktronik AB (fd Vanpee AB)Appliances, Electrical, and Electronics Manufacturing

ISIC A/SAppliances, Electrical, and Electronics Manufacturing

Skomø A/SGraphic Design

Leteng asIT Services and IT Consulting

SwedWire ABIndustrial Machinery Manufacturing

GasiQ ABIndustrial Machinery Manufacturing

ASEPTFood and Beverage Services

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Enkom Active Oy Similar Companies

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NEWS

Enkom Active Oy 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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