Universidade Federal de Mato Grosso do Sul Company Cyber Security Posture
ufms.brA Universidade Federal de Mato Grosso do Sul (UFMS) teve sua origem em 1962, com a criação da Faculdade de Farmácia e Odontologia de Campo Grande, na cidade de Campo Grande. Ao longo dos anos, a universidade se expandiu por todo o estado. Além da sede em Campo Grande, a UFMS mantém Câmpus em Aquidauana, Bonito, Chapadão do Sul, Corumbá, Coxim, Naviraí, Nova Andradina, Paranaíba, Ponta Porã e Três Lagoas, descentralizando o ensino para atender aos principais pólos de desenvolvimento do Estado. A UFMS possui cursos de graduação e pós-graduação, ambos presenciais e a distância. Os cursos de pós-graduação englobam os cursos de especialização e os programas de mestrado e doutorado. Visando atingir os objetivos essenciais de aprimoramento do ensino e estímulo às atividades de pesquisa e de extensão, a UFMS vem participando ativamente da preservação dos recursos naturais do meio ambiente de Mato Grosso do Sul, especialmente da fauna e flora do Pantanal, região onde está inserida. Fonte: adpatado de https://www.ufms.br/universidade/historico/
UFDMGS Company Details
ufms
3752 employees
52677
none
Educação superior
ufms.br
Scan still pending
UNI_3174675
In-progress
UFDMGS Risk Score (AI oriented)Between 200 and 800
This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.
UFDMGS Global Score.png)
Universidade Federal de Mato Grosso do Sul Company Scoring based on AI Models
| Model Name | Date | Description | Current Score Difference | Score |
|---|---|---|---|---|
| AVERAGE-Industry | 03-12-2025 | This score represents the average cybersecurity rating of companies already scanned within the same industry. It provides a benchmark to compare an individual company's security posture against its industry peers. | N/A | Between 200 and 800 |
Universidade Federal de Mato Grosso do Sul Company Cyber Security News & History
| Entity | Type | Severity | Impact | Seen | Url ID | Details | View |
|---|---|---|---|---|---|---|---|
| Universidade Federal de Mato Grosso do Sul | Cyber Attack | 60 | 2 | 09/2023 | UNI1732211023 | Link | |
Rankiteo Explanation : Attack limited on finance or reputationDescription: UFMS experiences a cyber assault, preventing students from accessing the system, enrollment portals, and virtual learning environments. On the servers that house institutional discs, passwords for email accounts, and institutional systems, an incident was discovered. The issue was reported to the Federal Police and the Federal Attorney's Office, and the university activated the Federal Government's Digital Government Integrated Cybersecurity Centre. According to the institution, classes went on as usual without interruption. | |||||||
Universidade Federal de Mato Grosso do Sul Company Subsidiaries
A Universidade Federal de Mato Grosso do Sul (UFMS) teve sua origem em 1962, com a criação da Faculdade de Farmácia e Odontologia de Campo Grande, na cidade de Campo Grande. Ao longo dos anos, a universidade se expandiu por todo o estado. Além da sede em Campo Grande, a UFMS mantém Câmpus em Aquidauana, Bonito, Chapadão do Sul, Corumbá, Coxim, Naviraí, Nova Andradina, Paranaíba, Ponta Porã e Três Lagoas, descentralizando o ensino para atender aos principais pólos de desenvolvimento do Estado. A UFMS possui cursos de graduação e pós-graduação, ambos presenciais e a distância. Os cursos de pós-graduação englobam os cursos de especialização e os programas de mestrado e doutorado. Visando atingir os objetivos essenciais de aprimoramento do ensino e estímulo às atividades de pesquisa e de extensão, a UFMS vem participando ativamente da preservação dos recursos naturais do meio ambiente de Mato Grosso do Sul, especialmente da fauna e flora do Pantanal, região onde está inserida. Fonte: adpatado de https://www.ufms.br/universidade/historico/
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UFDMGS Cyber Security News
Experts Raise Alarm on DOGE Attempts to Access Michiganders’ Personal Information
Cybersecurity experts share potential impacts and implications of Trump administration's access to highly sensitive data. LANSING, Mich.
State and local governments should prepare for changes to CISA, cyber experts say
Cybersecurity experts told StateScoop that state and local governments should brace themselves for changes to the Cybersecurity Infrastructure ...
Avery Alpha
Avery Alpha is the Principal Deputy Under Secretary for Intelligence and Analysis at the Department of Homeland Security.
Trump administration fires National Security Agency chief
The removal of General Timothy Haugh comes amid what appears to be a wider purge of top security officials at the agency and at the White House.
Secure Our World: Cybersecurity Awareness Month 2024
Cybersecurity Awareness Month is an international initiative that highlights actions everyone can take to stay safe online.
The People Carrying Out Musk’s Plans at DOGE
The New York Times identified more than 70 people within the so-called Department of Government Efficiency, a group formed by Elon Musk that ...
Trump officials push immigrant gang message, but sometimes don't back it up in court
Prosecutors normally avoid making public allegations of serious criminal conduct without presenting evidence in court to back up those ...
Cybersecurity professor disappears amid FBI raids
A US-based cybersecurity professor and his wife have reportedly disappeared after they were fired by their university employer and their ...
Mary Ellen Callahan
In August 2023, Mary Ellen Callahan commenced serving as Assistant Secretary for the Department of Homeland Security's (DHS) Countering Weapons of Mass ...
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Frequently Asked Questions (FAQ) on Cybersecurity Incidents
UFDMGS CyberSecurity History Information
Total Incidents: According to Rankiteo, UFDMGS has faced 1 incidents in the past.
Incident Types: The types of cybersecurity incidents that have occurred include ['Cyber Attack'].
Total Financial Loss: The total financial loss from these incidents is estimated to be {total_financial_loss}.
Cybersecurity Posture: The company's overall cybersecurity posture is described as A Universidade Federal de Mato Grosso do Sul (UFMS) teve sua origem em 1962, com a criação da Faculdade de Farmácia e Odontologia de Campo Grande, na cidade de Campo Grande. Ao longo dos anos, a universidade se expandiu por todo o estado. Além da sede em Campo Grande, a UFMS mantém Câmpus em Aquidauana, Bonito, Chapadão do Sul, Corumbá, Coxim, Naviraí, Nova Andradina, Paranaíba, Ponta Porã e Três Lagoas, descentralizando o ensino para atender aos principais pólos de desenvolvimento do Estado. A UFMS possui cursos de graduação e pós-graduação, ambos presenciais e a distância. Os cursos de pós-graduação englobam os cursos de especialização e os programas de mestrado e doutorado. Visando atingir os objetivos essenciais de aprimoramento do ensino e estímulo às atividades de pesquisa e de extensão, a UFMS vem participando ativamente da preservação dos recursos naturais do meio ambiente de Mato Grosso do Sul, especialmente da fauna e flora do Pantanal, região onde está inserida. Fonte: adpatado de https://www.ufms.br/universidade/historico/.
Detection and Response: The company detects and responds to cybersecurity incidents through {description_of_detection_and_response_process}.
Incident Details
Incident 1: Ransomware Attack
Title: {Incident_Title}
Description: {Brief_description_of_the_incident}
Date Detected: {Detection_Date}
Date Publicly Disclosed: {Disclosure_Date}
Date Resolved: {Resolution_Date}
Type: {Type_of_Attack}
Attack Vector: {Attack_Vector}
Vulnerability Exploited: {Vulnerability}
Threat Actor: {Threat_Actor}
Motivation: {Motivation}
Incident 2: Data Breach
Title: {Incident_Title}
Description: {Brief_description_of_the_incident}
Date Detected: {Detection_Date}
Date Publicly Disclosed: {Disclosure_Date}
Date Resolved: {Resolution_Date}
Type: {Type_of_Attack}
Attack Vector: {Attack_Vector}
Vulnerability Exploited: {Vulnerability}
Threat Actor: {Threat_Actor}
Motivation: {Motivation}
Common Attack Types: As of now, the company has not encountered any reported incidents involving common cyberattacks.
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through {description_of_identification_process}.
Impact of the Incidents
Incident 1: Ransomware Attack
Financial Loss: {Financial_Loss}
Data Compromised: {Data_Compromised}
Systems Affected: {Systems_Affected}
Downtime: {Downtime}
Operational Impact: {Operational_Impact}
Conversion Rate Impact: {Conversion_Rate_Impact}
Revenue Loss: {Revenue_Loss}
Customer Complaints: {Customer_Complaints}
Brand Reputation Impact: {Brand_Reputation_Impact}
Legal Liabilities: {Legal_Liabilities}
Identity Theft Risk: {Identity_Theft_Risk}
Payment Information Risk: {Payment_Information_Risk}
Incident 2: Data Breach
Financial Loss: {Financial_Loss}
Data Compromised: {Data_Compromised}
Systems Affected: {Systems_Affected}
Downtime: {Downtime}
Operational Impact: {Operational_Impact}
Conversion Rate Impact: {Conversion_Rate_Impact}
Revenue Loss: {Revenue_Loss}
Customer Complaints: {Customer_Complaints}
Brand Reputation Impact: {Brand_Reputation_Impact}
Legal Liabilities: {Legal_Liabilities}
Identity Theft Risk: {Identity_Theft_Risk}
Payment Information Risk: {Payment_Information_Risk}
Average Financial Loss: The average financial loss per incident is {average_financial_loss}.
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are {list_of_commonly_compromised_data_types}.
Incident 1: Ransomware Attack
Entity Name: {Entity_Name}
Entity Type: {Entity_Type}
Industry: {Industry}
Location: {Location}
Size: {Size}
Customers Affected: {Customers_Affected}
Incident 2: Data Breach
Entity Name: {Entity_Name}
Entity Type: {Entity_Type}
Industry: {Industry}
Location: {Location}
Size: {Size}
Customers Affected: {Customers_Affected}
Response to the Incidents
Incident 1: Ransomware Attack
Incident Response Plan Activated: {Yes/No}
Third Party Assistance: {Yes/No}
Law Enforcement Notified: {Yes/No}
Containment Measures: {Containment_Measures}
Remediation Measures: {Remediation_Measures}
Recovery Measures: {Recovery_Measures}
Communication Strategy: {Communication_Strategy}
Adaptive Behavioral WAF: {Adaptive_Behavioral_WAF}
On-Demand Scrubbing Services: {On_Demand_Scrubbing_Services}
Network Segmentation: {Network_Segmentation}
Enhanced Monitoring: {Enhanced_Monitoring}
Incident 2: Data Breach
Incident Response Plan Activated: {Yes/No}
Third Party Assistance: {Yes/No}
Law Enforcement Notified: {Yes/No}
Containment Measures: {Containment_Measures}
Remediation Measures: {Remediation_Measures}
Recovery Measures: {Recovery_Measures}
Communication Strategy: {Communication_Strategy}
Adaptive Behavioral WAF: {Adaptive_Behavioral_WAF}
On-Demand Scrubbing Services: {On_Demand_Scrubbing_Services}
Network Segmentation: {Network_Segmentation}
Enhanced Monitoring: {Enhanced_Monitoring}
Incident Response Plan: The company's incident response plan is described as {description_of_incident_response_plan}.
Third-Party Assistance: The company involves third-party assistance in incident response through {description_of_third_party_involvement}.
Data Breach Information
Incident 2: Data Breach
Type of Data Compromised: {Type_of_Data}
Number of Records Exposed: {Number_of_Records}
Sensitivity of Data: {Sensitivity_of_Data}
Data Exfiltration: {Yes/No}
Data Encryption: {Yes/No}
File Types Exposed: {File_Types}
Personally Identifiable Information: {Yes/No}
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: {description_of_prevention_measures}.
Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through {description_of_handling_process}.
Ransomware Information
Incident 1: Ransomware Attack
Ransom Demanded: {Ransom_Amount}
Ransom Paid: {Ransom_Paid}
Ransomware Strain: {Ransomware_Strain}
Data Encryption: {Yes/No}
Data Exfiltration: {Yes/No}
Ransom Payment Policy: The company's policy on paying ransoms in ransomware incidents is described as {description_of_ransom_payment_policy}.
Data Recovery from Ransomware: The company recovers data encrypted by ransomware through {description_of_data_recovery_process}.
Regulatory Compliance
Incident 1: Ransomware Attack
Regulations Violated: {Regulations_Violated}
Fines Imposed: {Fines_Imposed}
Legal Actions: {Legal_Actions}
Regulatory Notifications: {Regulatory_Notifications}
Incident 2: Data Breach
Regulations Violated: {Regulations_Violated}
Fines Imposed: {Fines_Imposed}
Legal Actions: {Legal_Actions}
Regulatory Notifications: {Regulatory_Notifications}
Regulatory Frameworks: The company complies with the following regulatory frameworks regarding cybersecurity: {list_of_regulatory_frameworks}.
Ensuring Regulatory Compliance: The company ensures compliance with regulatory requirements through {description_of_compliance_measures}.
Lessons Learned and Recommendations
Incident 1: Ransomware Attack
Lessons Learned: {Lessons_Learned}
Incident 2: Data Breach
Lessons Learned: {Lessons_Learned}
Incident 1: Ransomware Attack
Recommendations: {Recommendations}
Incident 2: Data Breach
Recommendations: {Recommendations}
Key Lessons Learned: The key lessons learned from past incidents are {list_of_key_lessons_learned}.
Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: {list_of_implemented_recommendations}.
References
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at {list_of_additional_resources}.
Investigation Status
Incident 1: Ransomware Attack
Investigation Status: {Investigation_Status}
Incident 2: Data Breach
Investigation Status: {Investigation_Status}
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through {description_of_communication_process}.
Stakeholder and Customer Advisories
Incident 1: Ransomware Attack
Stakeholder Advisories: {Stakeholder_Advisories}
Customer Advisories: {Customer_Advisories}
Incident 2: Data Breach
Stakeholder Advisories: {Stakeholder_Advisories}
Customer Advisories: {Customer_Advisories}
Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: {description_of_advisories_provided}.
Initial Access Broker
Incident 1: Ransomware Attack
Entry Point: {Entry_Point}
Reconnaissance Period: {Reconnaissance_Period}
Backdoors Established: {Backdoors_Established}
High Value Targets: {High_Value_Targets}
Data Sold on Dark Web: {Yes/No}
Incident 2: Data Breach
Entry Point: {Entry_Point}
Reconnaissance Period: {Reconnaissance_Period}
Backdoors Established: {Backdoors_Established}
High Value Targets: {High_Value_Targets}
Data Sold on Dark Web: {Yes/No}
Monitoring and Mitigation of Initial Access Brokers: The company monitors and mitigates the activities of initial access brokers through {description_of_monitoring_and_mitigation_measures}.
Post-Incident Analysis
Incident 1: Ransomware Attack
Root Causes: {Root_Causes}
Corrective Actions: {Corrective_Actions}
Incident 2: Data Breach
Root Causes: {Root_Causes}
Corrective Actions: {Corrective_Actions}
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as {description_of_post_incident_analysis_process}.
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: {list_of_corrective_actions_taken}.
Additional Questions
General Information
Ransom Payment History: The company has {paid/not_paid} ransoms in the past.
Last Ransom Demanded: The amount of the last ransom demanded was {last_ransom_amount}.
Last Attacking Group: The attacking group in the last incident was {last_attacking_group}.
Incident Details
Most Recent Incident Detected: The most recent incident detected was on {most_recent_incident_detected_date}.
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on {most_recent_incident_publicly_disclosed_date}.
Most Recent Incident Resolved: The most recent incident resolved was on {most_recent_incident_resolved_date}.
Impact of the Incidents
Highest Financial Loss: The highest financial loss from an incident was {highest_financial_loss}.
Most Significant Data Compromised: The most significant data compromised in an incident was {most_significant_data_compromised}.
Most Significant System Affected: The most significant system affected in an incident was {most_significant_system_affected}.
Response to the Incidents
Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was {third_party_assistance_in_most_recent_incident}.
Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were {containment_measures_in_most_recent_incident}.
Data Breach Information
Most Sensitive Data Compromised: The most sensitive data compromised in a breach was {most_sensitive_data_compromised}.
Number of Records Exposed: The number of records exposed in the most significant breach was {number_of_records_exposed}.
Ransomware Information
Highest Ransom Demanded: The highest ransom demanded in a ransomware incident was {highest_ransom_demanded}.
Highest Ransom Paid: The highest ransom paid in a ransomware incident was {highest_ransom_paid}.
Regulatory Compliance
Highest Fine Imposed: The highest fine imposed for a regulatory violation was {highest_fine_imposed}.
Most Significant Legal Action: The most significant legal action taken for a regulatory violation was {most_significant_legal_action}.
Lessons Learned and Recommendations
Most Significant Lesson Learned: The most significant lesson learned from past incidents was {most_significant_lesson_learned}.
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was {most_significant_recommendation_implemented}.
References
Most Recent Source: The most recent source of information about an incident is {most_recent_source}.
Most Recent URL for Additional Resources: The most recent URL for additional resources on cybersecurity best practices is {most_recent_url}.
Investigation Status
Current Status of Most Recent Investigation: The current status of the most recent investigation is {current_status_of_most_recent_investigation}.
Stakeholder and Customer Advisories
Most Recent Stakeholder Advisory: The most recent stakeholder advisory issued was {most_recent_stakeholder_advisory}.
Most Recent Customer Advisory: The most recent customer advisory issued was {most_recent_customer_advisory}.
Initial Access Broker
Most Recent Entry Point: The most recent entry point used by an initial access broker was {most_recent_entry_point}.
Most Recent Reconnaissance Period: The most recent reconnaissance period for an incident was {most_recent_reconnaissance_period}.
Post-Incident Analysis
Most Significant Root Cause: The most significant root cause identified in post-incident analysis was {most_significant_root_cause}.
Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was {most_significant_corrective_action}.
What Do We Measure?
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
These are some of the factors we use to calculate the overall score:
Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.
Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.
Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.
Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.
