What is the official website of Minnesota Supercomputing Institute ?

The official website of Minnesota Supercomputing Institute is https://msi.umn.edu/.

What is Minnesota Supercomputing Institute's cybersecurity risk score?

Minnesota Supercomputing Institute has an AI-generated cybersecurity risk score of 770 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Minnesota Supercomputing Institute experienced?

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

Has Minnesota Supercomputing Institute been affected by any supply chain cyber incidents ?

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

Does Minnesota Supercomputing Institute have SOC 2 Type 1 certification ?

According to Rankiteo, Minnesota Supercomputing Institute is not certified under SOC 2 Type 1.

Does Minnesota Supercomputing Institute have SOC 2 Type 2 certification ?

According to Rankiteo, Minnesota Supercomputing Institute does not hold a SOC 2 Type 2 certification.

Does Minnesota Supercomputing Institute comply with GDPR ?

According to Rankiteo, Minnesota Supercomputing Institute is not listed as GDPR compliant.

Does Minnesota Supercomputing Institute have PCI DSS certification ?

According to Rankiteo, Minnesota Supercomputing Institute does not currently maintain PCI DSS compliance.

Does Minnesota Supercomputing Institute comply with HIPAA ?

According to Rankiteo, Minnesota Supercomputing Institute is not compliant with HIPAA regulations.

Does Minnesota Supercomputing Institute have ISO 27001 certification ?

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

Which industry does Minnesota Supercomputing Institute operate in ?

Minnesota Supercomputing Institute operates primarily in the Higher Education industry.

How many employees does Minnesota Supercomputing Institute have ?

Minnesota Supercomputing Institute employs approximately None employees people worldwide.

Does Minnesota Supercomputing Institute own any subsidiaries ?

Minnesota Supercomputing Institute presently has no subsidiaries across any sectors.

How many LinkedIn followers does Minnesota Supercomputing Institute have ?

Minnesota Supercomputing Institute's official LinkedIn profile has approximately 244 followers.

What is the NAICS classification code for Minnesota Supercomputing Institute ?

Minnesota Supercomputing Institute is classified under the NAICS code 6113, which corresponds to Colleges, Universities, and Professional Schools.

Does Minnesota Supercomputing Institute have a Crunchbase profile ?

No, Minnesota Supercomputing Institute does not have a profile on Crunchbase.

Does Minnesota Supercomputing Institute have a LinkedIn profile ?

Yes, Minnesota Supercomputing Institute maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/minnesota-supercomputing-institute.

How many cybersecurity incidents has Minnesota Supercomputing Institute experienced ?

As of October 6, 2026, Rankiteo reports that Minnesota Supercomputing Institute has not experienced any cybersecurity incidents.

How many peer or competitor companies does Minnesota Supercomputing Institute have ?

Minnesota Supercomputing Institute has an estimated 17,436 peer or competitor companies worldwide.

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770

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Fair

795

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Fair

Minnesota Supercomputing Institute Vendor Cyber Rating & Cyber Score

umn.edu

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The Minnesota Supercomputing Institute (MSI) provides advanced research computing infrastructure and expertise to the research and scholarly community at the University of Minnesota and throughout the State of Minnesota. Our goal is to advance and accelerate research and to foster innovation and discoveries through advanced computing technologies, scientific computing and informatics, application development, and services.

MSI

Minnesota Supercomputing Institute 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.

MSI Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

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A.I Risk Score Likelihood 3 - 6 - 9 months

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Underwriter Stats for MSI

Incidents vs Higher Education Industry Avg (This Year)

No incidents recorded for Minnesota Supercomputing Institute in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Minnesota Supercomputing Institute in 2026.

Incident Types MSI vs Higher Education Industry Avg (This Year)

No incidents recorded for Minnesota Supercomputing Institute in 2026.

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

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SUBSIDIARY

Minnesota Supercomputing Institute Subsidiaries

Parent Company

MSI

Higher Education

Website: https://msi.umn.edu/

Company Size: 51-200 employees

No subsidiary data available for this company.

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Minnesota Supercomputing Institute Similar Companies

University of Illinois Urbana-Champaign

illinois.edu

The University of Illinois Urbana-Champaign is dedicated to building upon its tradition of excellence in education, research, public engagement and economic development. More than 3,000 faculty members discover and create new knowledge. Their work is an economic engine for the state and is recognized with many of the world’s top academic and creative awards. The campus’ outstanding academic programs, extraordinary resources and bountiful opportunities attract top-caliber students. They join research teams, spend semesters abroad, create art in old and new ways and lead and participate in hundreds of student organizations. The Urbana campus has more than 425,000 alumni who are global leaders across the spectrum of human endeavor.

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The University of North Carolina at Chapel Hill

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NEWS

Minnesota Supercomputing Institute 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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Minnesota Supercomputing Institute Vendor Cyber Rating & Cyber Score

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