What is the official website of MDC ConQrete, Inc. ?

The official website of MDC ConQrete, Inc. is https://www.mdc.com.ph/subsidiaries/mdc-conqrete-inc.

What is MDC ConQrete, Inc.'s cybersecurity risk score?

MDC ConQrete, Inc. has an AI-generated cybersecurity risk score of 748 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has MDC ConQrete, Inc. experienced?

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

Has MDC ConQrete, Inc. been affected by any supply chain cyber incidents ?

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

Does MDC ConQrete, Inc. have SOC 2 Type 1 certification ?

According to Rankiteo, MDC ConQrete, Inc. is not certified under SOC 2 Type 1.

Does MDC ConQrete, Inc. have SOC 2 Type 2 certification ?

According to Rankiteo, MDC ConQrete, Inc. does not hold a SOC 2 Type 2 certification.

Does MDC ConQrete, Inc. comply with GDPR ?

According to Rankiteo, MDC ConQrete, Inc. is not listed as GDPR compliant.

Does MDC ConQrete, Inc. have PCI DSS certification ?

According to Rankiteo, MDC ConQrete, Inc. does not currently maintain PCI DSS compliance.

Does MDC ConQrete, Inc. comply with HIPAA ?

According to Rankiteo, MDC ConQrete, Inc. is not compliant with HIPAA regulations.

Does MDC ConQrete, Inc. have ISO 27001 certification ?

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

Which industry does MDC ConQrete, Inc. operate in ?

MDC ConQrete, Inc. operates primarily in the Construction industry.

How many employees does MDC ConQrete, Inc. have ?

MDC ConQrete, Inc. employs approximately 1 people worldwide.

Does MDC ConQrete, Inc. own any subsidiaries ?

MDC ConQrete, Inc. presently has no subsidiaries across any sectors.

How many LinkedIn followers does MDC ConQrete, Inc. have ?

MDC ConQrete, Inc.'s official LinkedIn profile has approximately 842 followers.

Does MDC ConQrete, Inc. have a Crunchbase profile ?

No, MDC ConQrete, Inc. does not have a profile on Crunchbase.

Does MDC ConQrete, Inc. have a LinkedIn profile ?

Yes, MDC ConQrete, Inc. maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/mdc-conqrete.

How many cybersecurity incidents has MDC ConQrete, Inc. experienced ?

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

How many peer or competitor companies does MDC ConQrete, Inc. have ?

MDC ConQrete, Inc. has an estimated 39,770 peer or competitor companies worldwide.

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MCI

Boost Score +25 with badge (5 left)

748

/1000

Moderate

773

/1000

Fair

MDC ConQrete, Inc. Vendor Cyber Rating & Cyber Score

mdc.com.ph

Add Your Compliance Badge

MDC ConQrete, Inc. (MCI) is the country’s leading provider of high-quality concrete products. MCI manages the production, delivery, placement and monitoring of MDC’s ready-mixed concrete products. These products are produced in MCI’s various concrete batching and precast manufacturing plants nationwide, catering to all of MDC’s construction requirements. MCI is capable of producing over 893,000 cubic meters of concrete per year through its concrete batching and precast production plants located in Makati, Taguig, Quezon City, Batangas, Laguna and Cebu.

MCI A.I CyberSecurity Scoring

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MCI

MDC ConQrete, Inc. CyberSecurity News & History

Past Incidents

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A.I.

MCI 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

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Prediction B

Prediction C

Prediction D

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Underwriter Stats for MCI

Incidents vs Construction Industry Avg (This Year)

No incidents recorded for MDC ConQrete, Inc. in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for MDC ConQrete, Inc. in 2026.

Incident Types MCI vs Construction Industry Avg (This Year)

No incidents recorded for MDC ConQrete, Inc. in 2026.

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

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SUBSIDIARY

MDC ConQrete, Inc. Subsidiaries

MCI

Construction

Website: https://www.mdc.com.ph/subsidiaries/mdc-conqrete-inc

Company Size: 1

Ayala Land, Inc.Real Estate

Ayala Property Management Corporation (APMC)Real Estate

Seda HotelsHospitality

Seda BGCHospitality

AmaiaReal Estate

El Nido ResortsHospitality

Fort Bonifacio Development CorporationReal Estate

Philippine Integrated Energy Solutions, Inc.Facilities Services

MDC BuildPlus, Inc.Construction

MDC Equipment Solutions, IncConstruction

Makati Development CorporationConstruction

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NEWS

MDC ConQrete, Inc. 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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