What is the official website of Carnegie Mellon University DDMLab ?

The official website of Carnegie Mellon University DDMLab is https://www.cmu.edu/dietrich/sds/ddmlab/index.html.

What is Carnegie Mellon University DDMLab's cybersecurity risk score?

Carnegie Mellon University DDMLab has an AI-generated cybersecurity risk score of 771 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Carnegie Mellon University DDMLab experienced?

According to Rankiteo, Carnegie Mellon University DDMLab currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Carnegie Mellon University DDMLab been affected by any supply chain cyber incidents ?

According to Rankiteo, Carnegie Mellon University DDMLab has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does Carnegie Mellon University DDMLab have SOC 2 Type 1 certification ?

According to Rankiteo, Carnegie Mellon University DDMLab is not certified under SOC 2 Type 1.

Does Carnegie Mellon University DDMLab have SOC 2 Type 2 certification ?

According to Rankiteo, Carnegie Mellon University DDMLab does not hold a SOC 2 Type 2 certification.

Does Carnegie Mellon University DDMLab comply with GDPR ?

According to Rankiteo, Carnegie Mellon University DDMLab is not listed as GDPR compliant.

Does Carnegie Mellon University DDMLab have PCI DSS certification ?

According to Rankiteo, Carnegie Mellon University DDMLab does not currently maintain PCI DSS compliance.

Does Carnegie Mellon University DDMLab comply with HIPAA ?

According to Rankiteo, Carnegie Mellon University DDMLab is not compliant with HIPAA regulations.

Does Carnegie Mellon University DDMLab have ISO 27001 certification ?

According to Rankiteo,Carnegie Mellon University DDMLab is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Carnegie Mellon University DDMLab operate in ?

Carnegie Mellon University DDMLab operates primarily in the Higher Education industry.

How many employees does Carnegie Mellon University DDMLab have ?

Carnegie Mellon University DDMLab employs approximately None employees people worldwide.

Does Carnegie Mellon University DDMLab own any subsidiaries ?

Carnegie Mellon University DDMLab presently has no subsidiaries across any sectors.

How many LinkedIn followers does Carnegie Mellon University DDMLab have ?

Carnegie Mellon University DDMLab's official LinkedIn profile has approximately 870 followers.

What is the NAICS classification code for Carnegie Mellon University DDMLab ?

Carnegie Mellon University DDMLab is classified under the NAICS code 6113, which corresponds to Colleges, Universities, and Professional Schools.

Does Carnegie Mellon University DDMLab have a Crunchbase profile ?

No, Carnegie Mellon University DDMLab does not have a profile on Crunchbase.

Does Carnegie Mellon University DDMLab have a LinkedIn profile ?

Yes, Carnegie Mellon University DDMLab maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/cmu-ddmlab.

How many cybersecurity incidents has Carnegie Mellon University DDMLab experienced ?

As of July 22, 2026, Rankiteo reports that Carnegie Mellon University DDMLab has not experienced any cybersecurity incidents.

How many peer or competitor companies does Carnegie Mellon University DDMLab have ?

Carnegie Mellon University DDMLab has an estimated 17,225 peer or competitor companies worldwide.

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CMUD

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771

/1000

Fair

796

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Fair

Carnegie Mellon University DDMLab Vendor Cyber Rating & Cyber Score

cmu.edu

Add Your Compliance Badge

DDMLab is an interdisciplinary laboratory, including post-docs and students from Behavioral Decision Research, Psychology, Engineering, and Computer Science. We study how humans make choices, learn and use their experiences to make decisions in dynamic environments. DDMLab is part of the Social and Decision Sciences Department at Carnegie Mellon University.

CMUD A.I CyberSecurity Scoring

Scoring History

CMUD

Carnegie Mellon University DDMLab CyberSecurity News & History

Past Incidents

Attack Types

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Impact

Seen

Blog Details

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Incident Details

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A.I.

CMUD 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 D

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Underwriter Stats for CMUD

Incidents vs Higher Education Industry Avg (This Year)

No incidents recorded for Carnegie Mellon University DDMLab in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Carnegie Mellon University DDMLab in 2026.

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

No incidents recorded for Carnegie Mellon University DDMLab in 2026.

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

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SUBSIDIARY

Carnegie Mellon University DDMLab Subsidiaries

CMUD

Higher Education

Website: https://www.cmu.edu/dietrich/sds/ddmlab/index.html

Company Size: 2-10 employees

Carnegie Mellon University Alumni AssociationHigher Education

Carnegie Mellon UniversityHigher Education

Carnegie Mellon University CyLabResearch Services

Carnegie Mellon ArchitectureHigher Education

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auburn.edu

Auburn University is a comprehensive land, space and sea grant research institution blending arts and applied sciences. The university continuously changes to accommodate today's needs, while still respecting the traditions and spirit of Auburn. As we grow and change, Auburn will always continue its tradition of excellence. The main campus had an enrollment during fall of 2017 of 29,776. Auburn University offers degrees in 15 schools and colleges at the undergraduate, graduate and professional levels. Auburn University is known not only for its academic excellence, but also for its impact on Alabama as well. A recent study determined Auburn had a nearly $4 billion economic impact on the state of Alabama, including a $1.5 billion impact on the economy and a $2.4 billion impact in "human capital." Auburn's Technical Assistance Center, a collaborative engineering and business outreach unit, performs hundreds of projects annually for state industry, generating millions of dollars in increased efficiencies and saving or creating hundreds of jobs statewide.

Universidad Nacional de Colombia

unal.edu.co

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University of California, Davis

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University of California

universityofcalifornia.edu

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Florida State University

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Ain Shams University, as the third Egyptian university, was founded in July 1950 under the name of "Ibrahim Pasha University". It participated with the two earlier universities, "Cairo University" (Fua'd the 1st ) and "Alexandria University" (Farouk the 1st) in fulfilling the message of universities and meeting the increasing demand of youth for higher education. When it was first established, Ain Shams University comprised a number of distinguished faculties and academic institutes, which were later developed into university.

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NEWS

Carnegie Mellon University DDMLab CyberSecurity News

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

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-63261

SUMMARY

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users.

Published

Date2026-07-21

Updated

Date2026-07-21

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

https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-72/388575

CVE-2026-63260

SUMMARY

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated attacker with low-privilege access can trigger a denial of service condition in Kibana by sending a specially crafted, oversized request payload. Processing this user-supplied input requires resource-intensive memory allocation that can exhaust the available heap memory in the Kibana process, causing it to crash and become unavailable to all users.

Published

Date2026-07-21

Updated

Date2026-07-21

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

https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-71/388574

CVE-2026-63259

SUMMARY

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access.

Published

Date2026-07-21

Updated

Date2026-07-21

RISK INFORMATION (Score: 4.3)

cvss3

Base Score: 4.3

Complexity: LOW

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

Impact Score

1.4

Exploitability

2.8

REFERENCES

https://discuss.elastic.co/t/kibana-9-4-4-security-update-esa-2026-70/388573

CVE-2026-63145

SUMMARY

Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.

Published

Date2026-07-21

Updated

Date2026-07-21

RISK INFORMATION (Score: 4.3)

cvss3

Base Score: 4.3

Complexity: LOW

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

Impact Score

1.4

Exploitability

2.8

REFERENCES

https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-69/388572

CVE-2026-63144

SUMMARY

Uncontrolled Recursion (CWE-674) in Elasticsearch can lead to denial of service via a specially crafted search request submitted by a low-privileged authenticated user. A user with read-level index access can submit a request that triggers unbounded recursive processing within the Elasticsearch query evaluation component, causing a fatal error that terminates the affected node. In single-node deployments, this results in complete service outage; in multi-node clusters, it causes repeated node restarts and sustained availability degradation.

Published

Date2026-07-21

Updated

Date2026-07-21

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

https://discuss.elastic.co/t/elasticsearch-8-19-19-9-3-8-9-4-4-security-update-esa-2026-68/388571

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