What is UNSW Gendered Violence Research Network's cybersecurity risk score?

UNSW Gendered Violence Research Network 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 UNSW Gendered Violence Research Network experienced?

According to Rankiteo, UNSW Gendered Violence Research Network currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has UNSW Gendered Violence Research Network been affected by any supply chain cyber incidents ?

According to Rankiteo, UNSW Gendered Violence Research Network has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does UNSW Gendered Violence Research Network have SOC 2 Type 1 certification ?

According to Rankiteo, UNSW Gendered Violence Research Network is not certified under SOC 2 Type 1.

Does UNSW Gendered Violence Research Network have SOC 2 Type 2 certification ?

According to Rankiteo, UNSW Gendered Violence Research Network does not hold a SOC 2 Type 2 certification.

Does UNSW Gendered Violence Research Network comply with GDPR ?

According to Rankiteo, UNSW Gendered Violence Research Network is not listed as GDPR compliant.

Does UNSW Gendered Violence Research Network have PCI DSS certification ?

According to Rankiteo, UNSW Gendered Violence Research Network does not currently maintain PCI DSS compliance.

Does UNSW Gendered Violence Research Network comply with HIPAA ?

According to Rankiteo, UNSW Gendered Violence Research Network is not compliant with HIPAA regulations.

Does UNSW Gendered Violence Research Network have ISO 27001 certification ?

According to Rankiteo,UNSW Gendered Violence Research Network is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does UNSW Gendered Violence Research Network operate in ?

UNSW Gendered Violence Research Network operates primarily in the Higher Education industry.

How many employees does UNSW Gendered Violence Research Network have ?

UNSW Gendered Violence Research Network employs approximately None employees people worldwide.

Does UNSW Gendered Violence Research Network own any subsidiaries ?

UNSW Gendered Violence Research Network presently has no subsidiaries across any sectors.

How many LinkedIn followers does UNSW Gendered Violence Research Network have ?

UNSW Gendered Violence Research Network's official LinkedIn profile has approximately 1,792 followers.

What is the NAICS classification code for UNSW Gendered Violence Research Network ?

UNSW Gendered Violence Research Network is classified under the NAICS code 6113, which corresponds to Colleges, Universities, and Professional Schools.

Does UNSW Gendered Violence Research Network have a Crunchbase profile ?

No, UNSW Gendered Violence Research Network does not have a profile on Crunchbase.

Does UNSW Gendered Violence Research Network have a LinkedIn profile ?

Yes, UNSW Gendered Violence Research Network maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/unswgvrn.

How many cybersecurity incidents has UNSW Gendered Violence Research Network experienced ?

As of July 23, 2026, Rankiteo reports that UNSW Gendered Violence Research Network has not experienced any cybersecurity incidents.

How many peer or competitor companies does UNSW Gendered Violence Research Network have ?

UNSW Gendered Violence Research Network has an estimated 17,228 peer or competitor companies worldwide.

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771

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Fair

796

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Fair

UNSW Gendered Violence Research Network Vendor Cyber Rating & Cyber Score

unsw.edu.au

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UNSW Gendered Violence Research Network CyberSecurity News & History

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A.I.

UGVRN Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

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

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Underwriter Stats for UGVRN

Incidents vs Higher Education Industry Avg (This Year)

No incidents recorded for UNSW Gendered Violence Research Network in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for UNSW Gendered Violence Research Network in 2026.

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

No incidents recorded for UNSW Gendered Violence Research Network in 2026.

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

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SUBSIDIARY

UNSW Gendered Violence Research Network Subsidiaries

UGVRN

Higher Education

Website: https://www.unsw.edu.au/arts-design-architecture/our-research/research-centres-institutes/research-networks-clusters-labs/gendered-violence-research-network

Company Size: None employees

UNSWHigher Education

UNSW Law & JusticeHigher Education

Australian Graduate School of Engineering at UNSW Higher Education

UNSW CIBEL CentreHigher Education

UNSW Business Insights InstituteHigher Education

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UNSW Gendered Violence Research Network Similar Companies

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Apollo Education Group, Inc. was founded in 1973 in response to a gradual shift in higher education demographics from a student population dominated by youth to one in which approximately half the students are adults and over 80 percent of whom work full-time. Apollo's founder, John Sperling, believed -- and events proved him right -- that lifelong employment with a single employer would be replaced by lifelong learning and employment with a variety of employers. Lifelong learning requires an institution dedicated solely to the education of working adults. Today, Apollo Education Group, Inc., through its subsidiaries, the University of Phoenix, the College for Financial Planning, and Western International University, has established itself as a leading provider of higher education programs for working adults by focusing on servicing the needs of the working adult. Apollo Education Group is an Equal Opportunity Employer and welcomes diversity.

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NEWS

UNSW Gendered Violence Research Network CyberSecurity News

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

May 15, 2025 07:00 AM

Reigniting productivity, tax reform to combat gendered violence, HDRs kicking goals and prepping for success – 15 May 2025

Dear colleaguesWith the ministry now sworn in following the federal election, I write at an opportune and optimistic time for UNSW to be...

Read Article

May 07, 2025 07:00 AM

UNSW reimagines global impact

UNSW Sydney is redefining what it means to engage globally by building deeper, more meaningful partnerships in regions that have historically been underserved.

Read Article

June 27, 2023 07:00 AM

UNSW hits the global top 20, VC award winners, and NAIDOC Week celebrations – 28 June 2023

UNSW has been ranked one of the top 20 universities in the world in the QS World University Rankings released today.

Read Article

June 23, 2023 07:00 AM

Home drives are being phased out this year

The migration of all network home drives from the UNSW network to UNSW OneDrives will start in July and be completed by October 2023.

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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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