DLF Limited Company Cyber Security Posture
dlf.inWith more than 75 years of real estate investment, development, and management experience, DLF has an unparalleled scale of delivery and an unmatched track record of customer-centric service excellence in India. Founded in 1946 by Chaudhary Raghvendra Singh, DLF started with the creation of 22 urban colonies in Delhi. In 1985, the company expanded into the then-unknown region of Gurugram, creating exceptional living and working spaces for the new Indian global professionals. Today, DLF is the largest publicly listed real estate company in India, with residential, commercial, and retail properties in 15 states and 24 cities. Our diverse verticals reflect our dedication to developing ecosystems for India’s changing needs.
DLF Limited Company Details
dlf
5761 employees
258859
none
Real Estate
dlf.in
Scan still pending
DLF_3175143
In-progress
DLF Limited Risk Score (AI oriented)Between 200 and 800
This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.
DLF Limited Global Score.png)
DLF Limited 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 |
DLF Limited Company Cyber Security News & History
| Entity | Type | Severity | Impact | Seen | Url ID | Details | View |
|---|---|---|---|---|---|---|---|
| DLF Limited | Breach | 60 | 3 | 09/2018 | DLF123311022 | Link | |
Rankiteo Explanation : Attack with significant impact with internal employee data leaksDescription: DLF 1 station house officer Sanjeev Kumar said the theft bid was planned and could be the handiwork of professionals as no fingerprints were found at the scene of crime. Burglars broke into the office of a private consultancy company in DLF Phase 1. They allegedly decamped with ₹4.5 lakh cash, $2,000, silver idols, two Mont Blanc collectible pens, four hard drives, company data, several personal documents and digital signatures of company staffers. Burglars removed a window pane and safety grill to enter the premises. Police suspect an insider to be involved as the stolen hard drives had company’s data backup of last 10 years and could be misused. No fingerprints were found at the scene of crime. A case was registered against unidentified accused under IPC sections 380 (theft in a dwelling house) and 457 (house-trespass or house-breaking). | |||||||
| DLF Limited | Vulnerability | 100 | 5 | 09/2018 | DLF173330922 | Link | |
Rankiteo Explanation : Attack threatening the organization's existenceDescription: Burglars broke into the office of a private consultancy company in DLF Phase 1. The theft bid was planned and could be the handiwork of professionals as no fingerprints were found at the scene of crime. They allegedly decamped with ₹4.5 lakh cash, $2,000, silver idols, two Mont Blanc collectible pens, four hard drives, company data, several personal documents and digital signatures of company staffers. They suspect an insider to be involved as the stolen hard drives had company’s data backup of last 10 years and could be misused. Police said no CCTV cameras were set up on or near the office. | |||||||
DLF Limited Company Subsidiaries
With more than 75 years of real estate investment, development, and management experience, DLF has an unparalleled scale of delivery and an unmatched track record of customer-centric service excellence in India. Founded in 1946 by Chaudhary Raghvendra Singh, DLF started with the creation of 22 urban colonies in Delhi. In 1985, the company expanded into the then-unknown region of Gurugram, creating exceptional living and working spaces for the new Indian global professionals. Today, DLF is the largest publicly listed real estate company in India, with residential, commercial, and retail properties in 15 states and 24 cities. Our diverse verticals reflect our dedication to developing ecosystems for India’s changing needs.
Access Data Using Our API
Get company history
Rapid.png)
DLF Limited Cyber Security News
Top companies in Cyber City Gurgaon
List of top companies in Cyber City Gurgaon · Nokia Solutions & Networking India · Akzo Nobel India · American Express Banking Corporation.
CBI nabs 43 in association with cyber crime network operating from Gurugram
The CBI has arrested 43 people during a crackdown on a Gurugram-based call centre, nabbing the suspected cyber criminals live in the act of ...
Adobe Launches Photoshop Mobile for iPhone | Swiggy Moves to New at DLF Gurgaon | 27 Feb 2025
The campaign targeted government agencies and industrial organizations in several countries and territories in the APAC region, including Taiwan ...
77-year-old Bengaluru woman held in ‘digital arrest’, loses Rs 1.2 crore in cyber fraud
A 77-year-old woman in Bengaluru has lost Rs 1.2 crore to cyber criminals who allegedly posed as telecom officials and Mumbai crime branch ...
Contact List Of Grievance Officers Of The Social Media Giants Under New IT Rules
Here is all that you need to know about the different Grievance Officers of the Social Media Giants like WhatsApp, Facebook, etc.
Electronic Waste Information
Welcome to Baker Hughes India region E-Waste recycling information. We not only supply but recommend, supports, guides and plan E-Waste for those products.
Careers
NTT DATA is a top 10 global IT services provider, headquartered in Tokyo, and operating in more than 50 countries. We are looking for talented individuals ...
DLF to invest 40% of yearly capex on current commercial projects in Chennai
Real Estate Developer DLF intends to invest about 40% of its yearly capex to complete its current commercial projects in Chennai, ...
Operation CHAKRA-III: Inside the CBI's Explosive Takedown of a Global Cyber Fraud Network
The Central Bureau of Investigation (CBI) has successfully dismantled a sophisticated international cyber-enabled financial crime network that had been ...
DLF Limited Similar Companies
Sue Dericks with Keller Williams Realty Services
Our mission is to improve the quality of life for our clients and those we come in contact with throughout each real estate transaction. We seek to deliver exceptional service so that our customers don't think of us as a one transaction event, but a lifetime partnership for all of their real estate
Country Garden Group
Forbes 500 500 Projects Globally Top 10 Real Estate Company in China Over the past 20 years, Country Garden has been a practitioner in China's urbanization, bringing modernization to landscape and improving the quality of people's lives. Besides Mainland China, Country Garden has also been act
Sino Group
Established in 1971, Sino Group comprises three listed companies – Sino Land Company Limited (HKSE: 083), Tsim Sha Tsui Properties Limited (HKSE: 0247), Sino Hotels (Holdings) Limited (HKSE: 1221) – and private companies held by the Ng Family. As one of Hong Kong’s leading property developers with
Keller Williams Ann Arbor Market Center
Keller Williams Realty is the largest real estate company, by agent count, in the United States. Headquartered in Austin, TX. KW has locations throughout the US and in many international Countries. In Ann Arbor, KW is one of the largest real estate agencies serving Washtenaw County and all of S
Keller Williams Colombia
Hemos creado este canal de comunicación con el fin de llevar los sistemas, modelos y valores de nuestra empresa para empezar a cambiar vidas. Colombia carece de un sistema formal de hacer negocios de bienes raíces, por eso, nuestro objetivo es ayudar a crear un ambiente de profesionalismo, bas
Keller Williams Realty, Inc.
Austin, Texas-based Keller Williams, the world’s largest real estate franchise by agent count, has more than 1,100 offices and 176,000 agents. The franchise is also No. 1 in units and sales volume in the United States. Since 1983, the company has cultivated an agent-centric, technology-driven, and
Frequently Asked Questions (FAQ) on Cybersecurity Incidents
DLF Limited CyberSecurity History Information
Total Incidents: According to Rankiteo, DLF Limited has faced 2 incidents in the past.
Incident Types: The types of cybersecurity incidents that have occurred include ['Vulnerability', 'Breach'].
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 With more than 75 years of real estate investment, development, and management experience, DLF has an unparalleled scale of delivery and an unmatched track record of customer-centric service excellence in India. Founded in 1946 by Chaudhary Raghvendra Singh, DLF started with the creation of 22 urban colonies in Delhi. In 1985, the company expanded into the then-unknown region of Gurugram, creating exceptional living and working spaces for the new Indian global professionals. Today, DLF is the largest publicly listed real estate company in India, with residential, commercial, and retail properties in 15 states and 24 cities. Our diverse verticals reflect our dedication to developing ecosystems for India’s changing needs..
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.
