Has Wirtschaftswissenschaftliche Fakultät – Georg-August-Universität Göttingen been affected by any supply chain cyber incidents ?

According to Rankiteo, Wirtschaftswissenschaftliche Fakultät – Georg-August-Universität Göttingen has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

What is the NAICS classification code for Wirtschaftswissenschaftliche Fakultät – Georg-August-Universität Göttingen ?

Wirtschaftswissenschaftliche Fakultät – Georg-August-Universität Göttingen is classified under the NAICS code 6113, which corresponds to Colleges, Universities, and Professional Schools.

How many peer or competitor companies does Wirtschaftswissenschaftliche Fakultät – Georg-August-Universität Göttingen have ?

Wirtschaftswissenschaftliche Fakultät – Georg-August-Universität Göttingen has an estimated 16,968 peer or competitor companies worldwide.

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Wirtschaftswissenschaftliche Fakultät – Georg-August-Universität Göttingen Vendor Cyber Rating & Cyber Score

uni-goettingen.de

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Since the Georg-August-Universität Göttingen was founded in 1737, teaching economics to students has been a core element of the university's research and teaching activities. Today, the Faculty of Business and Economics is one of the largest in Germany, with around 3,400 students enrolled and over 30 university professors, junior professors and six honorary professors working here. The faculty's diverse research activities are grouped into three core areas: Compliance and Governance, Marketing and Consumer Science, and Global Change and Development. The teaching spectrum ranges from broad-based bachelor's programmes in business administration, economics, applied statistics, business informatics, and business education to a differentiated

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Wirtschaftswissenschaftliche Fakultät – Georg-August-Universität Göttingen CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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A.I.

WFGG 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 C

Prediction D

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Underwriter Stats for WFGG

Incidents vs Higher Education Industry Avg (This Year)

No incidents recorded for Wirtschaftswissenschaftliche Fakultät – Georg-August-Universität Göttingen in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Wirtschaftswissenschaftliche Fakultät – Georg-August-Universität Göttingen in 2026.

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

No incidents recorded for Wirtschaftswissenschaftliche Fakultät – Georg-August-Universität Göttingen in 2026.

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

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SUBSIDIARY

Wirtschaftswissenschaftliche Fakultät – Georg-August-Universität Göttingen Subsidiaries

WFGG

Higher Education

Website: https://uni-goettingen.de/de/2165.html

Company Size: 10,001+ employees

Georg-August-Universität GöttingenForschungsdienstleistungen

Transfer & Startup Hub Universität GöttingenHigher Education

MBA Agribusiness Universität GöttingenHigher Education

3D SeminarEducation

Göttingen Future of Work HubResearch Services

Chair of Information Management, University of GöttingenResearch Services

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NEWS

Wirtschaftswissenschaftliche Fakultät – Georg-August-Universität Göttingen CyberSecurity News

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

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-10777

SUMMARY

A vulnerability was identified in ealpha072 Student-Management-System up to 01451bd7a2f58cdda07bd0b86e3967582e3ecd08. Affected by this issue is some unknown functionality of the file admin/config.php of the component Administrative Backend. Such manipulation leads to improper authentication. The attack may be performed from remote. The exploit is publicly available and might be used. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed. The project was informed of the problem early through an issue report but has not responded yet.

Published

Date2026-06-03

Updated

Date2026-06-03

RISK INFORMATION (Score: 7.3)

cvss2

Base Score: 7.5

Complexity: LOW

AV:N/AC:L/Au:N/C:P/I:P/A:P

cvss3

Base Score: 7.3

Complexity: LOW

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

cvss4

Base Score: 5.5

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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

3.4

Exploitability

3.9

REFERENCES

CVE-2026-10775

SUMMARY

A vulnerability was determined in sgl-project SGLang up to 0.5.11. Affected by this vulnerability is the function data_hash of the component Cache Handler. This manipulation causes denial of service. The attack is restricted to local execution. A high degree of complexity is needed for the attack. The exploitation appears to be difficult. The exploit has been publicly disclosed and may be utilized. The pull request to fix this issue awaits acceptance.

Published

Date2026-06-03

Updated

Date2026-06-03

RISK INFORMATION (Score: 3.6)

cvss2

Base Score: 2.4

Complexity: HIGH

AV:L/AC:H/Au:S/C:N/I:P/A:P

cvss3

Base Score: 3.6

Complexity: HIGH

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

cvss4

Base Score: 1.1

Complexity: HIGH

CVSS:4.0/AV:L/AC:H/AT:N/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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

2.5

Exploitability

REFERENCES

CVE-2026-22055

SUMMARY

Active IQ OneCollect version 2.7.3 contains hard-coded credentials that could allow an authenticated attacker with low privileges to perform unauthorized AutoSupport operations.

Published

Date2026-06-03

Updated

Date2026-06-03

RISK INFORMATION (Score: )

cvss4

Base Score: 5.3

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:N/SC:L/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

https://security.netapp.com/advisory/ntap-20260603-0002

CVE-2026-22054

SUMMARY

Active IQ Config Advisor version 6.7.3 contains hard-coded credentials that could allow an authenticated attacker with low privileges to perform unauthorized AutoSupport operations.

Published

Date2026-06-03

Updated

Date2026-06-03

RISK INFORMATION (Score: )

cvss4

Base Score: 5.3

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:N/SC:L/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

https://security.netapp.com/advisory/ntap-20260603-0001

CVE-2026-10771

SUMMARY

A vulnerability was found in crmeb crmeb_java 1.4. Affected is the function RestTemplate.getForEntity of the file crmeb-common/src/main/java/com/zbkj/common/utils/RestTemplateUtil.java of the component base64 Qrcode Endpoint. The manipulation of the argument url results in server-side request forgery. The attack can be executed remotely. The exploit has been made public and could be used. The project was informed of the problem early through an issue report but has not responded yet.

Published

Date2026-06-03

Updated

Date2026-06-03

RISK INFORMATION (Score: 7.3)

cvss2

Base Score: 7.5

Complexity: LOW

AV:N/AC:L/Au:N/C:P/I:P/A:P

cvss3

Base Score: 7.3

Complexity: LOW

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

cvss4

Base Score: 5.5

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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

3.4

Exploitability

3.9

REFERENCES

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