What is the official website of Raízen Power ?

The official website of Raízen Power is https://www.raizenpower.com.br/.

What is Raízen Power's cybersecurity risk score?

Raízen Power has an AI-generated cybersecurity risk score of 758 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Raízen Power experienced?

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

Has Raízen Power been affected by any supply chain cyber incidents ?

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

Does Raízen Power have SOC 2 Type 1 certification ?

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

Does Raízen Power have SOC 2 Type 2 certification ?

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

Does Raízen Power comply with GDPR ?

According to Rankiteo, Raízen Power is not listed as GDPR compliant.

Does Raízen Power have PCI DSS certification ?

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

Does Raízen Power comply with HIPAA ?

According to Rankiteo, Raízen Power is not compliant with HIPAA regulations.

Does Raízen Power have ISO 27001 certification ?

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

Which industry does Raízen Power operate in ?

Raízen Power operates primarily in the Services for Renewable Energy industry.

How many employees does Raízen Power have ?

Raízen Power employs approximately None employees people worldwide.

Does Raízen Power own any subsidiaries ?

Raízen Power presently has no subsidiaries across any sectors.

How many LinkedIn followers does Raízen Power have ?

Raízen Power's official LinkedIn profile has approximately 29,567 followers.

What is the NAICS classification code for Raízen Power ?

Raízen Power is classified under the NAICS code 541391, which corresponds to Professional Services.

Does Raízen Power have a Crunchbase profile ?

No, Raízen Power does not have a profile on Crunchbase.

Does Raízen Power have a LinkedIn profile ?

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

How many cybersecurity incidents has Raízen Power experienced ?

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

How many peer or competitor companies does Raízen Power have ?

Raízen Power has an estimated 631 peer or competitor companies worldwide.

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Raízen Power

Boost Score +25 with badge (5 left)

758

/1000

Fair

783

/1000

Fair

Raízen Power Vendor Cyber Rating & Cyber Score

raizenpower.com.br

Add Your Compliance Badge

Somos a Raízen Power, a marca de energia elétrica renovável do grupo Raízen, referência mundial em bioenergia. Estamos aqui para transformar o setor de energia no Brasil, oferecendo soluções de energia de forma integrada para todos os perfis de clientes, de grandes, médias e pequenas empresas, até a sua casa. O compromisso com a transição energética é um de nossos principais pilares. Por isso, toda a nossa energia vem de fontes 100% renováveis, alinhada com os objetivos de sustentabilidade da ONU na construção de um futuro mais seguro para todos. Com a solidez da 3ª maior empresa do Brasil, chegamos para transformar a sua relação com a energia e ser a sua melhor escolha. Raízen Power, suas escolhas movem o mundo

Raízen Power A.I CyberSecurity Scoring

Scoring History

Raízen Power

Raízen Power CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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No data available

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A.I.

Raízen Power 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

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for Raízen Power

Incidents vs Services for Renewable Energy Industry Avg (This Year)

No incidents recorded for Raízen Power in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Raízen Power in 2026.

Incident Types Raízen Power vs Services for Renewable Energy Industry Avg (This Year)

No incidents recorded for Raízen Power in 2026.

Incident History - Raízen Power (X = Date, Y = Severity)

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SUBSIDIARY

Raízen Power Subsidiaries

Raízen Power

Services for Renewable Energy

Website: https://www.raizenpower.com.br/

Company Size: 201-500 employees

RaízenRetail Gasoline

CosanInvestment Management

ComgasOil and Gas

RumoTransportation, Logistics, Supply Chain and Storage

Fuse - Edital de Inovação RumoTruck Transportation

MooveChemical Manufacturing

Mobil by MooveOil and Gas

TirrenoChemical Manufacturing

PetroChoice - Lubrication SolutionsOil and Gas

Moove EuropeOil and Gas

WP GroupOil and Gas

Moove PortugalOil and Gas

Moove FranceWholesale

Moove UKOil and Gas

Comma OilOil and Gas

Moove EspañaOil and Gas

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Raízen Power Similar Companies

ENGIE Solutions France

engie-solutions.com

ENGIE Solutions, l'allié de confiance des entreprises, des industries et des collectivités engagées dans la neutralité carbone. Grâce à la pluralité de nos compétences, de nos capacités et de nos champs d’intervention, nous sommes en mesure d’offrir des solutions globales et pérennes tout en nous engageant sur les résultats. Nous contribuons à améliorer la compétitivité de vos infrastructures, l’attractivité de vos villes, le confort de vos lieux de vie et de travail. ENGIE Solutions se mobilise pour le plan #FranceRelance en accompagnant ses clients, de l’identification des subventions éligibles à la conduite des projets. #PlandeRelance #NeutralitéCarbone #TransitionÉnergétique 🌱

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NEWS

Raízen Power CyberSecurity News

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

February 26, 2026 08:00 AM

Shell grapples with debt crisis at key clean energy venture

UK oil major in crunch talks to rescue Brazilian biofuels business Raízen.

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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