What is the official website of ALTEX Romania ?

The official website of ALTEX Romania is https://altex.ro.

What is ALTEX Romania's cybersecurity risk score?

ALTEX Romania has an AI-generated cybersecurity risk score of 778 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has ALTEX Romania experienced?

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

Has ALTEX Romania been affected by any supply chain cyber incidents ?

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

Does ALTEX Romania have SOC 2 Type 1 certification ?

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

Does ALTEX Romania have SOC 2 Type 2 certification ?

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

Does ALTEX Romania comply with GDPR ?

According to Rankiteo, ALTEX Romania is not listed as GDPR compliant.

Does ALTEX Romania have PCI DSS certification ?

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

Does ALTEX Romania comply with HIPAA ?

According to Rankiteo, ALTEX Romania is not compliant with HIPAA regulations.

Does ALTEX Romania have ISO 27001 certification ?

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

Which industry does ALTEX Romania operate in ?

ALTEX Romania operates primarily in the Retail industry.

How many employees does ALTEX Romania have ?

ALTEX Romania employs approximately 1,825 people worldwide.

Does ALTEX Romania own any subsidiaries ?

ALTEX Romania presently has no subsidiaries across any sectors.

How many LinkedIn followers does ALTEX Romania have ?

ALTEX Romania's official LinkedIn profile has approximately 67,684 followers.

What is the NAICS classification code for ALTEX Romania ?

ALTEX Romania is classified under the NAICS code 43, which corresponds to Retail Trade.

Does ALTEX Romania have a Crunchbase profile ?

No, ALTEX Romania does not have a profile on Crunchbase.

Does ALTEX Romania have a LinkedIn profile ?

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

How many cybersecurity incidents has ALTEX Romania experienced ?

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

How many peer or competitor companies does ALTEX Romania have ?

ALTEX Romania has an estimated 15,867 peer or competitor companies worldwide.

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ALTEX Romania

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778

/1000

Fair

803

/1000

Good

ALTEX Romania Vendor Cyber Rating & Cyber Score

altex.ro

Add Your Compliance Badge

ALTEX is a Romanian investment group founded in 1992 and the market leader in electro-IT retail. Being an omnichannel retailer, Altex Romania offers its customers the opportunity to purchase whenever, wherever and however they want, both online and offline, in more than 105 Altex stores and 20 Media Galaxy stores all-over the country. Altex’s mission is to make technology and equipment that improve life comfort accessible to all customers. To sustain its mission, Altex developed together with its partners flexible financing credits with low interest rate and accessible installments. In addition, Altex supports its customers with added value services: product service and free transportation. Everyday our employees are dedicated to our

ALTEX Romania A.I CyberSecurity Scoring

Scoring History

ALTEX Romania

ALTEX Romania CyberSecurity News & History

Past Incidents

Attack Types

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Impact

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A.I.

ALTEX Romania 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

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Underwriter Stats for ALTEX Romania

Incidents vs Retail Industry Avg (This Year)

No incidents recorded for ALTEX Romania in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for ALTEX Romania in 2026.

Incident Types ALTEX Romania vs Retail Industry Avg (This Year)

No incidents recorded for ALTEX Romania in 2026.

Incident History - ALTEX Romania (X = Date, Y = Severity)

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SUBSIDIARY

ALTEX Romania Subsidiaries

Parent Company

ALTEX Romania

Retail

Website: https://altex.ro

Company Size: 1,825

No subsidiary data available for this company.

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NEWS

ALTEX Romania CyberSecurity News

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

December 18, 2024 08:00 AM

Home improvement retailer Kingfisher sells Romania business

European home improvement retailer Kingfisher will exit the Romanian market after agreeing the sale of its loss-making Brico Depot Romania...

Read Article

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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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