What is the official website of Trend Micro LATAM ?

The official website of Trend Micro LATAM is https://www.trendmicro.com.

What is Trend Micro LATAM's cybersecurity risk score?

Trend Micro LATAM has an AI-generated cybersecurity risk score of 755 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Trend Micro LATAM experienced?

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

Has Trend Micro LATAM been affected by any supply chain cyber incidents ?

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

Does Trend Micro LATAM have SOC 2 Type 1 certification ?

According to Rankiteo, Trend Micro LATAM is not certified under SOC 2 Type 1.

Does Trend Micro LATAM have SOC 2 Type 2 certification ?

According to Rankiteo, Trend Micro LATAM does not hold a SOC 2 Type 2 certification.

Does Trend Micro LATAM comply with GDPR ?

According to Rankiteo, Trend Micro LATAM is not listed as GDPR compliant.

Does Trend Micro LATAM have PCI DSS certification ?

According to Rankiteo, Trend Micro LATAM does not currently maintain PCI DSS compliance.

Does Trend Micro LATAM comply with HIPAA ?

According to Rankiteo, Trend Micro LATAM is not compliant with HIPAA regulations.

Does Trend Micro LATAM have ISO 27001 certification ?

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

Which industry does Trend Micro LATAM operate in ?

Trend Micro LATAM operates primarily in the Software Development industry.

How many employees does Trend Micro LATAM have ?

Trend Micro LATAM employs approximately None employees people worldwide.

Does Trend Micro LATAM own any subsidiaries ?

Trend Micro LATAM presently has no subsidiaries across any sectors.

How many LinkedIn followers does Trend Micro LATAM have ?

Trend Micro LATAM's official LinkedIn profile has approximately 7,251 followers.

What is the NAICS classification code for Trend Micro LATAM ?

Trend Micro LATAM is classified under the NAICS code 5112, which corresponds to Software Publishers.

Does Trend Micro LATAM have a Crunchbase profile ?

No, Trend Micro LATAM does not have a profile on Crunchbase.

Does Trend Micro LATAM have a LinkedIn profile ?

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

How many cybersecurity incidents has Trend Micro LATAM experienced ?

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

How many peer or competitor companies does Trend Micro LATAM have ?

Trend Micro LATAM has an estimated 30,163 peer or competitor companies worldwide.

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TML

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755

/1000

Fair

780

/1000

Fair

Trend Micro LATAM Vendor Cyber Rating & Cyber Score

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Trend Micro, líder en soluciones de ciberseguridad, ayuda a crear un mundo seguro para el intercambio de información digital.

TML A.I CyberSecurity Scoring

Scoring History

TML

Trend Micro LATAM 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.

TML 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 TML

Incidents vs Software Development Industry Avg (This Year)

No incidents recorded for Trend Micro LATAM in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Trend Micro LATAM in 2026.

Incident Types TML vs Software Development Industry Avg (This Year)

No incidents recorded for Trend Micro LATAM in 2026.

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

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SUBSIDIARY

Trend Micro LATAM Subsidiaries

Parent Company

TML

Software Development

Website: https://www.trendmicro.com

Company Size: 5,001-10,000 employees

No subsidiary data available for this company.

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NEWS

Trend Micro LATAM CyberSecurity News

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

February 12, 2026 08:00 AM

Latin America Cybersecurity Market Size & Growth, 2034

The Latin America cybersecurity market size is estimated to garner a revenue of USD 42.88 billion by 2034, growing with a CAGR of 6.9%.

Read Article

February 11, 2026 08:00 AM

Middle East Cyber Security Market Size & Growth, 2034

Middle East Cyber Security Market Size, Share, Trends & Growth Forecast Report By Solution Type (IAM, Firewall & VPN, SIEM, Antivirus),...

Read Article

January 08, 2026 08:00 AM

WhatsApp Worm Spreads Astaroth Banking Trojan Across Brazil via Contact Auto-Messaging

Cybersecurity researchers have disclosed details of a new campaign that uses WhatsApp as a distribution vector for a Windows banking trojan...

Read Article

December 03, 2025 08:00 AM

Brazil Hit by Banking Trojan Spread via WhatsApp Worm and RelayNFC NFC Relay Fraud

Water Saci and RelayNFC drive advanced Brazil-targeted attacks using WhatsApp worm tactics and real-time NFC payment theft.

Read Article

December 01, 2025 08:00 AM

Announcing the 2025 Geo and Global AWS Partners of the Year

by Andrew Somera on 01 DEC 2025 in Announcements, AWS Partner Network, AWS re:Invent, Customer Solutions, Foundational (100), Launch Permalink Comments...

Read Article

October 27, 2025 07:00 AM

Active Water Saci Campaign Spreading Via WhatsApp Features Multi-Vector Persistence and Sophisticated C&C

Continuous investigation on the Water Saci campaign reveals innovative email-based C&C system, multi-vector persistence, and real-time...

Read Article

October 21, 2025 07:00 AM

“No country is an island”: EU expert Besnik Limaj on building cyber-resilient Central Asia

At the Central Asia Cyber Security Summit 2025 in Tashkent, cybersecurity expert Besnik Limaj of Expertise France praised Uzbekistan's swift...

Read Article

October 17, 2025 07:00 AM

Private network security startup OneLayer grabs $28M in funding

SNS Telecom & IT tells Fierce the company has around 30 customers in the private network space so far.

Read Article

October 04, 2025 07:00 AM

Self-Propagating Malware Spreading Via WhatsApp, Targets Brazilian Users

Trend™ Research has identified an active campaign spreading via WhatsApp through a ZIP file attachment. When executed, the malware...

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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