What is the official website of CTIS ?

The official website of CTIS is https://www.sonda.com/pt-br/.

What is CTIS's cybersecurity risk score?

CTIS has an AI-generated cybersecurity risk score of 762 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has CTIS experienced?

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

Has CTIS been affected by any supply chain cyber incidents ?

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

Does CTIS have SOC 2 Type 1 certification ?

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

Does CTIS have SOC 2 Type 2 certification ?

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

Does CTIS comply with GDPR ?

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

Does CTIS have PCI DSS certification ?

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

Does CTIS comply with HIPAA ?

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

Does CTIS have ISO 27001 certification ?

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

Which industry does CTIS operate in ?

CTIS operates primarily in the IT Services and IT Consulting industry.

How many employees does CTIS have ?

CTIS employs approximately 2,818 people worldwide.

Does CTIS own any subsidiaries ?

CTIS presently has no subsidiaries across any sectors.

How many LinkedIn followers does CTIS have ?

CTIS's official LinkedIn profile has approximately 73,245 followers.

What is the NAICS classification code for CTIS ?

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

Does CTIS have a Crunchbase profile ?

No, CTIS does not have a profile on Crunchbase.

Does CTIS have a LinkedIn profile ?

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

How many cybersecurity incidents has CTIS experienced ?

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

How many peer or competitor companies does CTIS have ?

CTIS has an estimated 40,794 peer or competitor companies worldwide.

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CTIS

Boost Score +25 with badge (5 left)

762

/1000

Fair

787

/1000

Fair

CTIS Vendor Cyber Rating & Cyber Score

sonda.com

Add Your Compliance Badge

CTIS, a SONDA Group company, is recognized as one of the largest and most important Brazilian information technology companies. For 34 years in the market, the pillars are the End User Support, Software Factory, Managed Device Services, Professional Services, Printing Center, Visual Solutions and Escola Modelo business lines. For combining innovation, performance, quality and reliability, CTIS is your best option in outsourcing IT services.

CTIS A.I CyberSecurity Scoring

Scoring History

CTIS

CTIS CyberSecurity News & History

Past Incidents

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A.I.

CTIS 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

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Underwriter Stats for CTIS

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

No incidents recorded for CTIS in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for CTIS in 2026.

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

No incidents recorded for CTIS in 2026.

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

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SUBSIDIARY

CTIS Subsidiaries

CTIS

IT Services and IT Consulting

Website: https://www.sonda.com/pt-br/

Company Size: 2,818

SONDAInformation Technology & Services

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NEWS

CTIS CyberSecurity News

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

November 13, 2025 08:00 AM

Exclusive: Splunk reveals why only 4% of organisations are cyber ready

Only 4% of organisations are fully cyber ready, according to the 2025 Cisco Cybersecurity Readiness Index, highlighting persistent gaps in...

Read Article

October 02, 2025 07:00 AM

DHS OIG finds CISA falling short on AIS participation and outreach despite surge in shared cyber threat data

The U.S. Department of Homeland Security Inspector General's latest review of the Cybersecurity and Infrastructure Security Agency (CISA)...

Read Article

September 30, 2025 07:00 AM

Watchdog: Cyber threat information-sharing program’s future uncertain with expected expiration of 2015 law

A DHS inspector general report found that CISA doesn't have plans for what to do with AIS if the Cybersecurity Information Sharing Act...

Read Article

September 30, 2025 07:00 AM

CISA: Sunset of Cyber Threat Info-Sharing Law Won’t End Info-Sharing Program (Sep 30, 2025)

By Tom Leithauser The Cybersecurity and Infrastructure Security Agency intends to continue operating a cyber threat information-sharing...

Read Article

September 25, 2025 07:00 AM

Splunk partners with ASD to boost cyber intelligence sharing

Splunk teams with Australian Signals Directorate to integrate cyber intelligence sharing, aiding government and private sectors in boosting...

Read Article

September 25, 2025 07:00 AM

Splunk and Australian Signals Directorate commence Cyber Threat Intelligence Sharing

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August 29, 2025 07:00 AM

Cyberattack event and arguments extraction based on feature interaction and few-shot learning

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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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