What is the official website of Logicalis Brasil ?

The official website of Logicalis Brasil is http://la.logicalis.com.

What is Logicalis Brasil's cybersecurity risk score?

Logicalis Brasil 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 Logicalis Brasil experienced?

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

Has Logicalis Brasil been affected by any supply chain cyber incidents ?

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

Does Logicalis Brasil have SOC 2 Type 1 certification ?

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

Does Logicalis Brasil have SOC 2 Type 2 certification ?

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

Does Logicalis Brasil comply with GDPR ?

According to Rankiteo, Logicalis Brasil is not listed as GDPR compliant.

Does Logicalis Brasil have PCI DSS certification ?

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

Does Logicalis Brasil comply with HIPAA ?

According to Rankiteo, Logicalis Brasil is not compliant with HIPAA regulations.

Does Logicalis Brasil have ISO 27001 certification ?

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

Which industry does Logicalis Brasil operate in ?

Logicalis Brasil operates primarily in the IT Services and IT Consulting industry.

How many employees does Logicalis Brasil have ?

Logicalis Brasil employs approximately 724 people worldwide.

Does Logicalis Brasil own any subsidiaries ?

Logicalis Brasil presently has no subsidiaries across any sectors.

How many LinkedIn followers does Logicalis Brasil have ?

Logicalis Brasil's official LinkedIn profile has approximately 125,051 followers.

What is the NAICS classification code for Logicalis Brasil ?

Logicalis Brasil is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.

Does Logicalis Brasil have a Crunchbase profile ?

No, Logicalis Brasil does not have a profile on Crunchbase.

Does Logicalis Brasil have a LinkedIn profile ?

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

How many cybersecurity incidents has Logicalis Brasil experienced ?

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

How many peer or competitor companies does Logicalis Brasil have ?

Logicalis Brasil has an estimated 40,799 peer or competitor companies worldwide.

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Logicalis Brasil

Boost Score +25 with badge (5 left)

758

/1000

Fair

783

/1000

Fair

Logicalis Brasil Vendor Cyber Rating & Cyber Score

logicalis.com

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A Logicalis é uma empresa global de soluções e serviços de tecnologia da informação e comunicação com operações nos cinco continentes, e faturamento anual da ordem de US$ 1,5 bilhão. Na América Latina, conta com uma equipe de 2900 profissionais altamente capacitados, distribuídos por suas operações em onze países - Argentina, Bolívia, Brasil, Chile, Colômbia, Equador, México, Paraguai, Peru, Porto Rico e Uruguai. Com a missão de ser um agente transformador da sociedade, a Logicalis acredita na aplicação de tecnologias inovadoras para suportar seus mais de mil clientes no caminho da digitalização de seus negócios, sempre com soluções desenhadas sob medida para cada necessidade. Para mais informações, visite: http://www.la.logicalis.com

Logicalis Brasil A.I CyberSecurity Scoring

Scoring History

Logicalis Brasil

Logicalis Brasil CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

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Incident Details

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No data available

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A.I.

Logicalis Brasil 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 Logicalis Brasil

Incidents vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for Logicalis Brasil in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Logicalis Brasil in 2026.

Incident Types Logicalis Brasil vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for Logicalis Brasil in 2026.

Incident History - Logicalis Brasil (X = Date, Y = Severity)

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SUBSIDIARY

Logicalis Brasil Subsidiaries

Logicalis Brasil

IT Services and IT Consulting

Website: http://la.logicalis.com

Company Size: 724

LogicalisIT Services and IT Consulting

Logicalis SpainIT Services and IT Consulting

Logicalis Asia PacificIT Services and IT Consulting

iZenoIT Services and IT Consulting

Packet Systems IndonesiaIT Services and IT Consulting

crampasAI by Packet Systems IndonesiaJasa TI dan Konsultan TI

Logicalis LatamIT Services and IT Consulting

LogicalisUSIT Services and IT Consulting

Logicalis ISVIT Services and IT Consulting

Managed Services with LogicalisInformation Technology & Services

SAP HANAIT Services and IT Consulting

Cloud Solutions and ServicesInformation Technology & Services

Data Center Services from LogicalisIT Services and IT Consulting

Logicalis GmbHIT Services and IT Consulting

Logicalis UK&IIT Services and IT Consulting

"UKI Logicalis - Microsoft Solutions Partner"IT Services and IT Consulting

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NEWS

Logicalis Brasil CyberSecurity News

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

November 13, 2025 08:00 AM

UK group Logicalis seeks to bring its Mexican operations up to par with Brazil

The tech consultancy vows aims to bring the scale of its Mexican operation closer to that of Brazil, its largest regional market,...

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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