What is the official website of Sonae Sierra ?

The official website of Sonae Sierra is http://www.sonaesierra.com/.

What is Sonae Sierra's cybersecurity risk score?

Sonae Sierra has an AI-generated cybersecurity risk score of 761 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Sonae Sierra experienced?

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

Has Sonae Sierra been affected by any supply chain cyber incidents ?

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

Does Sonae Sierra have SOC 2 Type 1 certification ?

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

Does Sonae Sierra have SOC 2 Type 2 certification ?

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

Does Sonae Sierra comply with GDPR ?

According to Rankiteo, Sonae Sierra is not listed as GDPR compliant.

Does Sonae Sierra have PCI DSS certification ?

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

Does Sonae Sierra comply with HIPAA ?

According to Rankiteo, Sonae Sierra is not compliant with HIPAA regulations.

Does Sonae Sierra have ISO 27001 certification ?

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

Which industry does Sonae Sierra operate in ?

Sonae Sierra operates primarily in the Real Estate industry.

How many employees does Sonae Sierra have ?

Sonae Sierra employs approximately 984 people worldwide.

Does Sonae Sierra own any subsidiaries ?

Sonae Sierra presently has no subsidiaries across any sectors.

How many LinkedIn followers does Sonae Sierra have ?

Sonae Sierra's official LinkedIn profile has approximately 61,089 followers.

Does Sonae Sierra have a Crunchbase profile ?

No, Sonae Sierra does not have a profile on Crunchbase.

Does Sonae Sierra have a LinkedIn profile ?

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

How many cybersecurity incidents has Sonae Sierra experienced ?

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

How many peer or competitor companies does Sonae Sierra have ?

Sonae Sierra has an estimated 30,154 peer or competitor companies worldwide.

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Sonae Sierra

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761

/1000

Fair

786

/1000

Fair

Sonae Sierra Vendor Cyber Rating & Cyber Score

sonaesierra.com

Add Your Compliance Badge

About Sonae Sierra We pursue an integrated approach to real estate. We find solid platforms from which we can create sound investments, all around the world. From shopping to public or living spaces, from management to turnkey projects, we are the most far-sighted partner to have when developing innovative concepts. For more information, visit www.sonaesierra.com

Sonae Sierra A.I CyberSecurity Scoring

Scoring History

Sonae Sierra

Sonae Sierra CyberSecurity News & History

Past Incidents

Attack Types

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A.I.

Sonae Sierra 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 Sonae Sierra

Incidents vs Real Estate Industry Avg (This Year)

No incidents recorded for Sonae Sierra in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Sonae Sierra in 2026.

Incident Types Sonae Sierra vs Real Estate Industry Avg (This Year)

No incidents recorded for Sonae Sierra in 2026.

Incident History - Sonae Sierra (X = Date, Y = Severity)

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SUBSIDIARY

Sonae Sierra Subsidiaries

Parent Company

Sonae Sierra

Real Estate

Website: http://www.sonaesierra.com/

Company Size: 1,001-5,000 employees

No subsidiary data available for this company.

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NEWS

Sonae Sierra 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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