What is the official website of M Susi & Son Inc. ?

The official website of M Susi & Son Inc. is http://msusi.com.

What is M Susi & Son Inc.'s cybersecurity risk score?

M Susi & Son Inc. has an AI-generated cybersecurity risk score of 721 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has M Susi & Son Inc. experienced?

According to Rankiteo, M Susi & Son Inc. currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has M Susi & Son Inc. been affected by any supply chain cyber incidents ?

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

Does M Susi & Son Inc. have SOC 2 Type 1 certification ?

According to Rankiteo, M Susi & Son Inc. is not certified under SOC 2 Type 1.

Does M Susi & Son Inc. have SOC 2 Type 2 certification ?

According to Rankiteo, M Susi & Son Inc. does not hold a SOC 2 Type 2 certification.

Does M Susi & Son Inc. comply with GDPR ?

According to Rankiteo, M Susi & Son Inc. is not listed as GDPR compliant.

Does M Susi & Son Inc. have PCI DSS certification ?

According to Rankiteo, M Susi & Son Inc. does not currently maintain PCI DSS compliance.

Does M Susi & Son Inc. comply with HIPAA ?

According to Rankiteo, M Susi & Son Inc. is not compliant with HIPAA regulations.

Does M Susi & Son Inc. have ISO 27001 certification ?

According to Rankiteo,M Susi & Son Inc. is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does M Susi & Son Inc. operate in ?

M Susi & Son Inc. operates primarily in the Construction industry.

How many employees does M Susi & Son Inc. have ?

M Susi & Son Inc. employs approximately 9 people worldwide.

Does M Susi & Son Inc. own any subsidiaries ?

M Susi & Son Inc. presently has no subsidiaries across any sectors.

How many LinkedIn followers does M Susi & Son Inc. have ?

M Susi & Son Inc.'s official LinkedIn profile has approximately followers.

What is the NAICS classification code for M Susi & Son Inc. ?

M Susi & Son Inc. is classified under the NAICS code 23, which corresponds to Construction.

Does M Susi & Son Inc. have a Crunchbase profile ?

No, M Susi & Son Inc. does not have a profile on Crunchbase.

Does M Susi & Son Inc. have a LinkedIn profile ?

Yes, M Susi & Son 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/m-susi-&-son-inc-.

How many cybersecurity incidents has M Susi & Son Inc. experienced ?

As of October 6, 2026, Rankiteo reports that M Susi & Son Inc. has experienced 1 cybersecurity incidents.

How many peer or competitor companies does M Susi & Son Inc. have ?

M Susi & Son Inc. has an estimated 39,960 peer or competitor companies worldwide.

What types of cybersecurity incidents has M Susi & Son Inc. faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Ransomware.

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721

/1000

Moderate

746

/1000

Moderate

M Susi & Son Inc. Vendor Cyber Rating & Cyber Score

msusi.com

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SSI

M Susi & Son Inc. CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

M Susi & Son Inc.

Ransomware

100

6/2026

M-S1784140727

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A.I.

SSI 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 SSI

Incidents vs Construction Industry Avg (This Year)

M Susi & Son Inc. has 36.31% fewer incidents than the average of same-industry companies with at least one recorded incident.

Incidents vs All-Companies Average (This Year)

M Susi & Son Inc. has 0.99% fewer incidents than the average of all companies with at least one recorded incident.

Incident Types SSI vs Construction Industry Avg (This Year)

M Susi & Son Inc. reported 1 incidents this year: 0 cyber attacks, 1 ransomware, 0 vulnerabilities, 0 data breaches, compared to industry peers with at least 1 incident.

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

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SUBSIDIARY

M Susi & Son Inc. Subsidiaries

Parent Company

SSI

Construction

Website: http://msusi.com

Company Size: 2-10 employees

No subsidiary data available for this company.

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NEWS

M Susi & Son 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-2026-105761

SUMMARY

Dify is an open-source LLM app development platform. Prior to 1.16.0, the PUT /console/api/apps/<app_id>/server endpoint in api/controllers/console/app/mcp_server.py used AppMCPServerController.put() to retrieve an AppMCPServer by the client-supplied server ID without verifying that the server belonged to the requested application and tenant. An authenticated workspace member could therefore change another application's MCP server status and parameters, potentially redirecting data or disabling the service. This issue is fixed in version 1.16.0.

Published

Date2026-10-05

Updated

Date2026-10-05

RISK INFORMATION (Score: 7.1)

cvss3

Base Score: 7.1

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L

Impact Score

4.2

Exploitability

2.8

REFERENCES

CVE-2026-105760

SUMMARY

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, a caller can use the request-level media_io_kwargs field to select the GLMGA video backend and supply large values for the fps and max_frames options without a strict work ceiling. GLMGA constructs and deduplicates an attacker-sized pre-decode frame-index list, allowing a compact request and tiny valid video to consume disproportionate CPU time and memory in the shared media-loading executor. This issue is fixed in version 0.30.0.

Published

Date2026-10-05

Updated

Date2026-10-05

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:N/I:N/A:L

Impact Score

1.4

Exploitability

3.9

REFERENCES

CVE-2026-105759

SUMMARY

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the Rust frontend's track_http_metrics middleware records the raw HTTP method token as a Prometheus label for requests reaching registered routes. An unauthenticated attacker can send unique arbitrary method tokens to unguarded routes such as /tokenize, causing Prometheus's Family::get_or_create function to permanently create counter and histogram label sets. Those label sets increase process memory usage and enlarge the /metrics response until the service or monitoring path is exhausted. This issue is fixed in version 0.30.0.

Published

Date2026-10-05

Updated

Date2026-10-05

RISK INFORMATION (Score: 5.9)

cvss3

Base Score: 5.9

Complexity: HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Impact Score

3.6

Exploitability

2.2

REFERENCES

CVE-2026-105758

SUMMARY

vLLM is an inference and serving engine for large language models. From 0.24.0 until 0.30.0, the Qwen2VLVideoBackend and Qwen3VLVideoBackend classes accept request-level values for the media_io_kwargs.video.max_frames and media_io_kwargs.video.fps fields without enforcing server-side ceilings. An unauthenticated caller can submit these values to the /tokenize endpoint, causing the sampler to decode every frame selected from attacker-controlled video input, consume disproportionate frontend memory, and potentially terminate the API process before scheduling or admission control. The Rust frontend is not affected because it rejects the media_io_kwargs field. This issue is fixed in version 0.30.0.

Published

Date2026-10-05

Updated

Date2026-10-05

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:N/I:N/A:L

Impact Score

1.4

Exploitability

3.9

REFERENCES

CVE-2026-105757

SUMMARY

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, structured-output request failures can escape request-scoped validation and reach the EngineCore fatal-error path. A per-request backend mismatch can re-raise a grammar compilation exception, padding produced by the ngram_gpu speculative-decoding mode can pass a negative token to guidance validation, and the Rust frontend can admit empty structured-output values that the Python frontend rejects, allowing ordinary constrained-generation requests to terminate the shared engine. This issue is fixed in version 0.30.0.

Published

Date2026-10-05

Updated

Date2026-10-05

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

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M Susi & Son Inc. Vendor Cyber Rating & Cyber Score

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