What is the official website of IULIUS ?

The official website of IULIUS is http://www.iuliuscompany.ro.

What is IULIUS's cybersecurity risk score?

IULIUS has an AI-generated cybersecurity risk score of 757 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has IULIUS experienced?

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

Has IULIUS been affected by any supply chain cyber incidents ?

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

Does IULIUS have SOC 2 Type 1 certification ?

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

Does IULIUS have SOC 2 Type 2 certification ?

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

Does IULIUS comply with GDPR ?

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

Does IULIUS have PCI DSS certification ?

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

Does IULIUS comply with HIPAA ?

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

Does IULIUS have ISO 27001 certification ?

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

Which industry does IULIUS operate in ?

IULIUS operates primarily in the Real Estate industry.

How many employees does IULIUS have ?

IULIUS employs approximately 455 people worldwide.

Does IULIUS own any subsidiaries ?

IULIUS presently has no subsidiaries across any sectors.

How many LinkedIn followers does IULIUS have ?

IULIUS's official LinkedIn profile has approximately 11,514 followers.

Does IULIUS have a Crunchbase profile ?

No, IULIUS does not have a profile on Crunchbase.

Does IULIUS have a LinkedIn profile ?

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

How many cybersecurity incidents has IULIUS experienced ?

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

How many peer or competitor companies does IULIUS have ?

IULIUS has an estimated 30,150 peer or competitor companies worldwide.

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IULIUS

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757

/1000

Fair

782

/1000

Fair

IULIUS Vendor Cyber Rating & Cyber Score

iuliuscompany.ro

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IULIUS Company is a developer and operator specialized in mixed-use urban regeneration projects based in Romania, with 25-plus years of real estate experience and operating in four major Romanian cities, namely Iași, Timișoara, Cluj-Napoca, and Suceava. The company portfolio comprises more than 310,000 sqm of retail premises in two mixed-use urban regeneration projects (Palas Iași and Iulius Town Timișoara, as well as a nationwide network of regional shopping malls (Iulius Mall – Iași, Cluj-Napoca, and Suceava), and the Family Market projects in Iași (Miroslava and Bucium). The projects are regional market leaders and draw more than 70 million visits every year. In just 10 short years, IULIUS came into prominence as one as the most

IULIUS A.I CyberSecurity Scoring

Scoring History

IULIUS

IULIUS CyberSecurity News & History

Past Incidents

Attack Types

Entity

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Impact

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A.I.

IULIUS 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 IULIUS

Incidents vs Real Estate Industry Avg (This Year)

No incidents recorded for IULIUS in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for IULIUS in 2026.

Incident Types IULIUS vs Real Estate Industry Avg (This Year)

No incidents recorded for IULIUS in 2026.

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

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SUBSIDIARY

IULIUS Subsidiaries

Parent Company

IULIUS

Real Estate

Website: http://www.iuliuscompany.ro

Company Size: 455

No subsidiary data available for this company.

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NEWS

IULIUS CyberSecurity News

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

November 29, 2024 08:00 AM

Kaspersky closes Romanian office

The Russian cybersecurity company Kaspersky announced it decided to close its subsidiary in Romania, according to Profit.ro.

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March 22, 2024 07:00 AM

The Fiat 500e, Which Is Only Sold As An EV, Might Get A Gas Engine Option Too

The same EU cybersecurity laws that killed the Porsche Macan will reportedly retire the previous-gen gas-powered 500.

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January 30, 2024 08:00 AM

2024 Cybersecurity Outlook: Navigating the Geopolitical Landscape

Welcome to our 2024 Cybersecurity Forecast Series! This is the last of our four expert blogs where we unveil key predictions for...

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August 17, 2023 07:00 AM

Romanian antivirus producer Bitdefender completes takeover in Singapore

IT security solutions provider Bitdefender, one of the best-known Romanian IT brands internationally and the largest local software producer...

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February 14, 2023 08:00 AM

Global tech supplier Expleo leases 3,000 sqm in Palas Campus Iași, the largest office building in Romania in terms of area

Offices - The business hub to be developed in downtown Iași upon completion of Palas Campus, the largest office building in Romania in terms...

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May 15, 2015 07:00 AM

Julius Caesar's Health Debate Reignited: Stroke Or Epilepsy?

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October 23, 2014 07:00 AM

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Secret Service Agent Matt O'Neill did just that during a three-year undercover investigation that began in 2008 into the point-of-sale hacking.

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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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