What is the official website of Centro de Información Toxicológica UC - CITUC ?

The official website of Centro de Información Toxicológica UC - CITUC is http://www.cituc.uc.cl/.

What is Centro de Información Toxicológica UC - CITUC's cybersecurity risk score?

Centro de Información Toxicológica UC - CITUC has an AI-generated cybersecurity risk score of 754 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Centro de Información Toxicológica UC - CITUC experienced?

According to Rankiteo, Centro de Información Toxicológica UC - CITUC currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Centro de Información Toxicológica UC - CITUC been affected by any supply chain cyber incidents ?

According to Rankiteo, Centro de Información Toxicológica UC - CITUC has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does Centro de Información Toxicológica UC - CITUC have SOC 2 Type 1 certification ?

According to Rankiteo, Centro de Información Toxicológica UC - CITUC is not certified under SOC 2 Type 1.

Does Centro de Información Toxicológica UC - CITUC have SOC 2 Type 2 certification ?

According to Rankiteo, Centro de Información Toxicológica UC - CITUC does not hold a SOC 2 Type 2 certification.

Does Centro de Información Toxicológica UC - CITUC comply with GDPR ?

According to Rankiteo, Centro de Información Toxicológica UC - CITUC is not listed as GDPR compliant.

Does Centro de Información Toxicológica UC - CITUC have PCI DSS certification ?

According to Rankiteo, Centro de Información Toxicológica UC - CITUC does not currently maintain PCI DSS compliance.

Does Centro de Información Toxicológica UC - CITUC comply with HIPAA ?

According to Rankiteo, Centro de Información Toxicológica UC - CITUC is not compliant with HIPAA regulations.

Does Centro de Información Toxicológica UC - CITUC have ISO 27001 certification ?

According to Rankiteo,Centro de Información Toxicológica UC - CITUC is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Centro de Información Toxicológica UC - CITUC operate in ?

Centro de Información Toxicológica UC - CITUC operates primarily in the Information Services industry.

How many employees does Centro de Información Toxicológica UC - CITUC have ?

Centro de Información Toxicológica UC - CITUC employs approximately None employees people worldwide.

Does Centro de Información Toxicológica UC - CITUC own any subsidiaries ?

Centro de Información Toxicológica UC - CITUC presently has no subsidiaries across any sectors.

How many LinkedIn followers does Centro de Información Toxicológica UC - CITUC have ?

Centro de Información Toxicológica UC - CITUC's official LinkedIn profile has approximately 1,356 followers.

What is the NAICS classification code for Centro de Información Toxicológica UC - CITUC ?

Centro de Información Toxicológica UC - CITUC is classified under the NAICS code 519, which corresponds to Other Information Services.

Does Centro de Información Toxicológica UC - CITUC have a Crunchbase profile ?

No, Centro de Información Toxicológica UC - CITUC does not have a profile on Crunchbase.

Does Centro de Información Toxicológica UC - CITUC have a LinkedIn profile ?

Yes, Centro de Información Toxicológica UC - CITUC maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/cituc.

How many cybersecurity incidents has Centro de Información Toxicológica UC - CITUC experienced ?

As of June 23, 2026, Rankiteo reports that Centro de Información Toxicológica UC - CITUC has not experienced any cybersecurity incidents.

How many peer or competitor companies does Centro de Información Toxicológica UC - CITUC have ?

Centro de Información Toxicológica UC - CITUC has an estimated 2,639 peer or competitor companies worldwide.

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CDITUC

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754

/1000

Fair

779

/1000

Fair

Centro de Información Toxicológica UC - CITUC Vendor Cyber Rating & Cyber Score

uc.cl

Add Your Compliance Badge

El Centro de Información Toxicológica de la Pontificia Universidad Católica de Chile (CITUC), es una organización sin fines de lucro. Fue el primer centro toxicológico del país inserto en una facultad de medicina y con capacidad para brindar servicio los 365 días del año en horario continuo. Durante sus 26 años de funcionamiento ha recibido más de 500 mil llamadas telefónicas y se ha posicionado como el centro de referencia nacional en el manejo del paciente intoxicado. Su principal tarea es la orientación al personal de salud y a la comunidad en el manejo y prevención de las intoxicaciones. CITUC además cuenta con un área de proyectos donde se ofrecen servicios a instituciones públicas y privadas en evaluación de riesgos y con un área

CDITUC A.I CyberSecurity Scoring

Scoring History

CDITUC

Centro de Información Toxicológica UC - CITUC 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.

CDITUC 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 CDITUC

Incidents vs Information Services Industry Avg (This Year)

No incidents recorded for Centro de Información Toxicológica UC - CITUC in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Centro de Información Toxicológica UC - CITUC in 2026.

Incident Types CDITUC vs Information Services Industry Avg (This Year)

No incidents recorded for Centro de Información Toxicológica UC - CITUC in 2026.

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

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SUBSIDIARY

Centro de Información Toxicológica UC - CITUC Subsidiaries

CDITUC

Information Services

Website: http://www.cituc.uc.cl/

Company Size: 11-50 employees

Pontificia Universidad Católica de ChileEnseñanza superior

Centro de Cambio Global UCServicios de investigación

Pyme UCProfessional Training and Coaching

Facultad de Derecho Pontificia Universidad Católica de ChileEnseñanza superior

Capacitación y Desarrollo UCFormación profesional y coaching

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NEWS

Centro de Información Toxicológica UC - CITUC 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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