SVN | SFR Capital Management Company Cyber Security Posture
svnsfrcapitalmanagement.comSVN | SFR Capital Management based in New York, is a private, commercial real estate investment firm dedicated to the Build-for-Rent (“BFR”) asset class, across the United States. SVN International Corp. (“SVNIC”), a globally recognized, Boston-based, full-service CRE advisory firm, is an affiliated entity. Through SVNIC’s 200+ offices with +1,600 professional Advisors, SVN | SFR Capital Management accesses SVNIC’s local real estate experts and relationships with residential developers and home builders, leading to substantial BFR investment opportunities. SVN | SFR Capital Management also selectively engages best-in-class professional service providers to augment internal resources and ensure profitable execution, operating efficiency and optimized cost management, all supporting uniquely scalable BFR investment opportunities. SVN | SFR Capital Management and its investors enjoy several competitive advantages in the BFR sector, including its affiliation with SVNIC, its SFRhub.com data aggregation and technology platform, a history of underwriting approximately 125,000 rental homes valued at $31 billion, specialized residential real estate expertise, a critical mass of experience working with home builders to optimize NOI within BFR communities, and the judgment gained from an extensive history across several decades as a real estate investor. These competitive advantages come into play in a recession-resistant sector with substantial rent growth that is not presently dominated by institutional investors. Through structured joint ventures, SVN | SFR Capital Management plans to acquire and aggregate approximately 35,000+ new construction, BFR homes in the near-term, through an initial capital raise of $12 billion in equity and debt capital, for eventual disposition at stabilization as a large-scale institutional rental home portfolio.
S|SCM Company Details
svn-sfr-capital-management
4 employees
406
531
Leasing Non-residential Real Estate
svnsfrcapitalmanagement.com
Scan still pending
SVN_2685399
In-progress
S|SCM Risk Score (AI oriented)Between 900 and 1000
This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.
S|SCM Global Score.png)
SVN | SFR Capital Management 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 900 and 1000 |
SVN | SFR Capital Management Company Cyber Security News & History
| Entity | Type | Severity | Impact | Seen | Url ID | Details | View |
|---|---|---|---|---|---|---|---|
| SFR | Breach | 100 | 6 | 7/2024 | SVN000073024 | Link | |
Rankiteo Explanation : Attack threatening the economy of geographical regionDescription: During the Olympic Games in Paris, criminal acts of sabotage were performed resulting in the severance of long-distance internet cables owned by SFR, among other telecom operators. This deliberate disruption caused a partial internet outage, affecting both mobile and fiber optic services. The impact was reported as 'limited' on SFR's customers, but the incident required extensive repair work to restore connectivity. The attack also indirectly impacted additional operators who utilize SFR's network infrastructure. Despite no immediate cyber-attack linkage and lack of claimed responsibility, the incident raised concerns over infrastructure security and implications of potential state actor involvement. | |||||||
| SFR | Cyber Attack | 100 | 6 | 7/2024 | SVN000073124 | Link | |
Rankiteo Explanation : Attack threatening the economy of geographical regionDescription: SFR, France's second-largest telecoms company, experienced sabotage of its long-distance fiber network at five different locations between 1 am and 3 am. The vandalism, suspected to be deliberate, led to disruptions in fiber optic services and mobile internet connectivity. The attack, coinciding with the Olympic Games in Paris, impacted both SFR customers and other operators that use their network, albeit SFR reported the impact as 'limited'. Repair work is underway, and while no group has claimed responsibility, there is speculation of 'ultra-left' involvement as well as potential foreign state actor influence. | |||||||
SVN | SFR Capital Management Company Subsidiaries
SVN | SFR Capital Management based in New York, is a private, commercial real estate investment firm dedicated to the Build-for-Rent (“BFR”) asset class, across the United States. SVN International Corp. (“SVNIC”), a globally recognized, Boston-based, full-service CRE advisory firm, is an affiliated entity. Through SVNIC’s 200+ offices with +1,600 professional Advisors, SVN | SFR Capital Management accesses SVNIC’s local real estate experts and relationships with residential developers and home builders, leading to substantial BFR investment opportunities. SVN | SFR Capital Management also selectively engages best-in-class professional service providers to augment internal resources and ensure profitable execution, operating efficiency and optimized cost management, all supporting uniquely scalable BFR investment opportunities. SVN | SFR Capital Management and its investors enjoy several competitive advantages in the BFR sector, including its affiliation with SVNIC, its SFRhub.com data aggregation and technology platform, a history of underwriting approximately 125,000 rental homes valued at $31 billion, specialized residential real estate expertise, a critical mass of experience working with home builders to optimize NOI within BFR communities, and the judgment gained from an extensive history across several decades as a real estate investor. These competitive advantages come into play in a recession-resistant sector with substantial rent growth that is not presently dominated by institutional investors. Through structured joint ventures, SVN | SFR Capital Management plans to acquire and aggregate approximately 35,000+ new construction, BFR homes in the near-term, through an initial capital raise of $12 billion in equity and debt capital, for eventual disposition at stabilization as a large-scale institutional rental home portfolio.
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S|SCM Cyber Security News
Pretium Is Said to Explore Up to $5 Billion of Rental-Home Sales
The third-largest U.S. owner of SFR homes is looking into selling most of its portfolio.
JPMorgan Forms Joint Venture for $1 Billion in Rental Houses
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As the Trumps watch, UAE makes aggressive bid to be global crypto pacesetter
The incoming Trump administration's interest in cryptocurrency represents an opportunity to reframe the U.S. approach to digital finance.
White & Case advises Morgan Stanley Infrastructure Partners on acquisition of majority stake in UltraEdge
Global law firm White & Case LLP has advised Morgan Stanley Infrastructure Partners, a private infrastructure investment platform within ...
Altice sells 70% of data centre business to Morgan Stanley Infrastructure
Telecoms and cable group, Altice France, is set to sell 70% of its data centre business to Morgan Stanley Infrastructure Partners (MSIP).
Emerton a strategic advisor to major infrastructure deals
Last year, Emerton was named one of France's leading strategy consulting firms to the private equity industry, and a leading strategic ...
SFR Investors Continue their Development Push with New Build-to-Rent Projects.
Leading SFR companies like Invitation have created technologies that make it possible to operate large portfolios of scattered-site, rental ...
What Does Zillow’s iBuying Failure Mean for SFR Investors?
Zillow's recent disastrous exit from its iBuying business, spurred by its overpaying for homes in a highly competitive market that the company couldn't then ...
Single-Family Rental Investors Make Bigger Bets on Build-to-Rent Homes
Heightened competition amid a tight supply of housing inventory in many markets is pushing investors to shift strategies to focus on new development.
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Frequently Asked Questions (FAQ) on Cybersecurity Incidents
S|SCM CyberSecurity History Information
Total Incidents: According to Rankiteo, S|SCM has faced 2 incidents in the past.
Incident Types: The types of cybersecurity incidents that have occurred include ['Breach', '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 SVN | SFR Capital Management based in New York, is a private, commercial real estate investment firm dedicated to the Build-for-Rent (“BFR”) asset class, across the United States. SVN International Corp. (“SVNIC”), a globally recognized, Boston-based, full-service CRE advisory firm, is an affiliated entity. Through SVNIC’s 200+ offices with +1,600 professional Advisors, SVN | SFR Capital Management accesses SVNIC’s local real estate experts and relationships with residential developers and home builders, leading to substantial BFR investment opportunities. SVN | SFR Capital Management also selectively engages best-in-class professional service providers to augment internal resources and ensure profitable execution, operating efficiency and optimized cost management, all supporting uniquely scalable BFR investment opportunities. SVN | SFR Capital Management and its investors enjoy several competitive advantages in the BFR sector, including its affiliation with SVNIC, its SFRhub.com data aggregation and technology platform, a history of underwriting approximately 125,000 rental homes valued at $31 billion, specialized residential real estate expertise, a critical mass of experience working with home builders to optimize NOI within BFR communities, and the judgment gained from an extensive history across several decades as a real estate investor. These competitive advantages come into play in a recession-resistant sector with substantial rent growth that is not presently dominated by institutional investors. Through structured joint ventures, SVN | SFR Capital Management plans to acquire and aggregate approximately 35,000+ new construction, BFR homes in the near-term, through an initial capital raise of $12 billion in equity and debt capital, for eventual disposition at stabilization as a large-scale institutional rental home portfolio..
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.
