What is the official website of Elkapsling AB ?

The official website of Elkapsling AB is http://www.elkapsling.se.

What is Elkapsling AB's cybersecurity risk score?

Elkapsling AB has an AI-generated cybersecurity risk score of 747 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Elkapsling AB experienced?

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

Has Elkapsling AB been affected by any supply chain cyber incidents ?

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

Does Elkapsling AB have SOC 2 Type 1 certification ?

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

Does Elkapsling AB have SOC 2 Type 2 certification ?

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

Does Elkapsling AB comply with GDPR ?

According to Rankiteo, Elkapsling AB is not listed as GDPR compliant.

Does Elkapsling AB have PCI DSS certification ?

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

Does Elkapsling AB comply with HIPAA ?

According to Rankiteo, Elkapsling AB is not compliant with HIPAA regulations.

Does Elkapsling AB have ISO 27001 certification ?

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

Which industry does Elkapsling AB operate in ?

Elkapsling AB operates primarily in the Appliances, Electrical, and Electronics Manufacturing industry.

How many employees does Elkapsling AB have ?

Elkapsling AB employs approximately 42 people worldwide.

Does Elkapsling AB own any subsidiaries ?

Elkapsling AB presently has no subsidiaries across any sectors.

How many LinkedIn followers does Elkapsling AB have ?

Elkapsling AB's official LinkedIn profile has approximately 1,158 followers.

What is the NAICS classification code for Elkapsling AB ?

Elkapsling AB is classified under the NAICS code 335, which corresponds to Electrical Equipment, Appliance, and Component Manufacturing.

Does Elkapsling AB have a Crunchbase profile ?

No, Elkapsling AB does not have a profile on Crunchbase.

Does Elkapsling AB have a LinkedIn profile ?

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

How many cybersecurity incidents has Elkapsling AB experienced ?

As of June 23, 2026, Rankiteo reports that Elkapsling AB has not experienced any cybersecurity incidents.

How many peer or competitor companies does Elkapsling AB have ?

Elkapsling AB has an estimated 9,645 peer or competitor companies worldwide.

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Elkapsling AB

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747

/1000

Moderate

772

/1000

Fair

Elkapsling AB Vendor Cyber Rating & Cyber Score

elkapsling.se

Add Your Compliance Badge

Electric and electronic equipment is at the heart of every modern business. Elkapsling helps you safeguard your vital hardware. We manufacture custom-made and standard enclosures in our factory in Sweden. Always delivered fast and with precision.

Elkapsling AB A.I CyberSecurity Scoring

Scoring History

Elkapsling AB

Elkapsling AB CyberSecurity News & History

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Impact

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A.I.

Elkapsling AB 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 Elkapsling AB

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

No incidents recorded for Elkapsling AB in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Elkapsling AB in 2026.

Incident Types Elkapsling AB vs Appliances, Electrical, and Electronics Manufacturing Industry Avg (This Year)

No incidents recorded for Elkapsling AB in 2026.

Incident History - Elkapsling AB (X = Date, Y = Severity)

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SUBSIDIARY

Elkapsling AB Subsidiaries

Elkapsling AB

Appliances, Electrical, and Electronics Manufacturing

Website: http://www.elkapsling.se

Company Size: 51-200 employees

Lagercrantz Group ABMechanical Or Industrial Engineering

Enkom Active OyWholesale Appliances, Electrical, and Electronics

Vanpee A/SAppliances, Electrical, and Electronics Manufacturing

Helvar DanmarkAppliances, Electrical, and Electronics Manufacturing

Radonova LaboratoriesEnvironmental Services

ASEPTFood and Beverage Services

WaproIndustrial Machinery Manufacturing

ExcidorAppliances, Electrical, and Electronics Manufacturing

Leteng asIT Services and IT Consulting

Vanpee Norge ASAppliances, Electrical, and Electronics Manufacturing

ISIC A/SAppliances, Electrical, and Electronics Manufacturing

ACTE A/SIT Services and IT Consulting

ACTE RAILTruck Transportation

COBS ABTelecommunications

Elfac A/SAppliances, Electrical, and Electronics Manufacturing

EFCAppliances, Electrical, and Electronics Manufacturing

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

GasiQ ABIndustrial Machinery Manufacturing

Skomø A/SGraphic Design

Dooman Teknik ABCivil Engineering

SwedWire ABIndustrial Machinery Manufacturing

Exilight OyAppliances, Electrical, and Electronics Manufacturing

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NEWS

Elkapsling AB 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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