Aditya Birla Fashion and Retail Ltd. Company Cyber Security Posture
abfrl.comAditya Birla Fashion and Retail Ltd. (ABFRL) emerged after the consolidation of the branded apparel businesses of Aditya Birla Group comprising ABNL's Madura Fashion division and ABNL's subsidiaries Pantaloons Fashion and Retail (PFRL) and Madura Fashion & Lifestyle (MFL) in May 2015. Post the consolidation, PFRL was renamed Aditya Birla Fashion and Retail Ltd. Aditya Birla Fashion and Retail Limited is part of a leading Indian conglomerate, The Aditya Birla Group. ABFRL is India’s first billion-dollar pure-play fashion powerhouse with an elegant bouquet of leading fashion brands and retail formats. With a revenue of Rs. 8,136 cr. and spanning a retail space of 9.2 million sq. ft. (as on March 31, 2022), it has a repertoire of leading brands such as Louis Philippe, Van Heusen, Allen Solly and Peter England established for over 25 years. Pantaloons is one of India’s leading fashion retailer. ABFRL’s International Brands portfolio includes-The Collective, India's largest multi-brand retailer of international brands and it has long term exclusive partnerships with select brands such as Ralph Lauren, Hackett London, Simon Carter, Ted Baker, Fred Perry, Forever 21, American Eagle and Reebok. Van Heusen Innerwear, Athleisure and Active wear is establishing itself as India's most innovative and fashionable brand. The Company’s foray into branded ethnic wear business includes brands such as Jaypore, Tasva & Marigold Lane. ABFRL has strategic partnerships with Designers ‘Shantanu & Nikhil’, ‘Tarun Tahiliani’, ‘Sabyasachi’ and ‘House of Masaba’. ABFRL is also embarking on a significant Direct-to-Consumer play to build a portfolio of new-age brands across fashion, beauty and other lifestyle segments. The Company is bolstering its digital capabilities by scaling up its brands.com to build an integrated portfolio of digital assets to provide an immersive customer experience, deepen consumer connect of its brands and expand its portfolio into emerging consumer segments.
ABFRL Company Details
abfrl
12197 employees
634344
448
Retail Apparel and Fashion
abfrl.com
Scan still pending
ADI_9662071
In-progress
ABFRL Risk Score (AI oriented)Between 900 and 1000
This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.
ABFRL Global Score.png)
Aditya Birla Fashion and Retail Ltd. 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 |
Aditya Birla Fashion and Retail Ltd. Company Cyber Security News & History
| Entity | Type | Severity | Impact | Seen | Url ID | Details | View |
|---|---|---|---|---|---|---|---|
| Aditya Birla Group | Cyber Attack | 100 | 5 | 01/2022 | ADI184824422 | Link | |
Rankiteo Explanation : Attack threatening the organization's existenceDescription: Indian fashion retailer Aditya Birla Group fell victim to a massive cyberattack by the threat actors group named ShinyHunters. The hackers claimed to have access to its systems and stole the personal information of its employees and customers. The group informed the affected customers about the breach. | |||||||
Aditya Birla Fashion and Retail Ltd. Company Subsidiaries
Aditya Birla Fashion and Retail Ltd. (ABFRL) emerged after the consolidation of the branded apparel businesses of Aditya Birla Group comprising ABNL's Madura Fashion division and ABNL's subsidiaries Pantaloons Fashion and Retail (PFRL) and Madura Fashion & Lifestyle (MFL) in May 2015. Post the consolidation, PFRL was renamed Aditya Birla Fashion and Retail Ltd. Aditya Birla Fashion and Retail Limited is part of a leading Indian conglomerate, The Aditya Birla Group. ABFRL is India’s first billion-dollar pure-play fashion powerhouse with an elegant bouquet of leading fashion brands and retail formats. With a revenue of Rs. 8,136 cr. and spanning a retail space of 9.2 million sq. ft. (as on March 31, 2022), it has a repertoire of leading brands such as Louis Philippe, Van Heusen, Allen Solly and Peter England established for over 25 years. Pantaloons is one of India’s leading fashion retailer. ABFRL’s International Brands portfolio includes-The Collective, India's largest multi-brand retailer of international brands and it has long term exclusive partnerships with select brands such as Ralph Lauren, Hackett London, Simon Carter, Ted Baker, Fred Perry, Forever 21, American Eagle and Reebok. Van Heusen Innerwear, Athleisure and Active wear is establishing itself as India's most innovative and fashionable brand. The Company’s foray into branded ethnic wear business includes brands such as Jaypore, Tasva & Marigold Lane. ABFRL has strategic partnerships with Designers ‘Shantanu & Nikhil’, ‘Tarun Tahiliani’, ‘Sabyasachi’ and ‘House of Masaba’. ABFRL is also embarking on a significant Direct-to-Consumer play to build a portfolio of new-age brands across fashion, beauty and other lifestyle segments. The Company is bolstering its digital capabilities by scaling up its brands.com to build an integrated portfolio of digital assets to provide an immersive customer experience, deepen consumer connect of its brands and expand its portfolio into emerging consumer segments.
Access Data Using Our API
Get company history
Rapid.png)
ABFRL Cyber Security News
Signzy Customer Data Leak Exposes Growing Cybersecurity Gaps in India
Online ID verification services provider Signzy has suffered a cyberattack that exposed customer data online.
Pune woman duped of Rs 4.47 lakh while requesting home banking service
A 67-year-old woman from Aundh, Pune, lost Rs 4.47 lakh to cyber fraudsters after she requested home banking assistance to activate her debit card.
WazirX's $235 mn hack linked to North Korea; US, Japan, S Korea to counter
WazirX suffered a major security breach in July 2024, which has now been attributed to North Korea's notorious hacking organisation Lazarus Group.
Aditya Birla Fashion and Retail Ltd. (ABFRL) Hacked — All Data Leaked Online
Earlier today, the high-profile hacking group ShinyHunters leaked all of the data from its hack of ABFRL on an underground hacking forum.
ABFRL faces data breach, over 5.4mn emails allegedly released online: Report
Aditya Birla Fashion and Retail Ltd (ABFRL) is facing a data breach on its portal, and the company is investing the incident.
Pune man arrested in Vadodara for aiding cyber fraud gangs through fake bank accounts
Pune resident Mahendra Meghwal was apprehended for creating and managing fraudulent bank accounts used by cybercrime syndicates. Meghwal, who ...
India's ABFRL's revenue soars 13% in FY24
Aditya Birla Fashion and Retail Ltd reported a consolidated revenue of ₹139.96 billion for FY24, up 13 per cent YoY, with a PAT of minus ₹7.36 ...
Aditya Birla Fashion and Retail Ltd faces data breach, company says investigation underway
Aditya Birla Fashion and Retail Ltd (ABFRL) recently suffered a data breach that has exposed the data of both its customers and employees.
Cybersecurity Mantras for Retail: Protecting Your Customers and Your Business
Cybersecurity Mantras for Retail · 1. Assume you will be breached. · 2. Patch your systems regularly. · 3. Use strong passwords and multi-factor ...
ABFRL Similar Companies
C&A Brasil
A C&A foi fundada em 1841 pelos irmãos holandeses Clemens e August. Suas iniciais deram origem ao nome da marca. Somamos mais de 1,8 mil unidades em 24 países da Europa, América Latina e Ásia e estamos entre as maiores redes de varejo do mundo. No Brasil, tudo começou em 1976, com a inauguração da
KPR MILL LIMITED
KPR, a vertically integrated Apparel Company, it is not just only among India's fastest growing companies but also one of the country's most attractive propositions for three of its most exiting products viz. , Ready made Knitted Apparel, Cotton Knitted Fabric and Cotton Yarn. We have integrated
DBL Group
DBL Group is one of Bangladesh’s largest and most reputed vertically integrated knitted apparels manufacturers and exporters. Since its inception in 1991, DBL Group has demonstrated its full commitment towards delivering quality products and services that enabled the organization surpass the expecta
LPP S.A.
Jesteśmy polską firmą rodzinną, która od ponad 30 lat pomaga swoim klientom w wyrażaniu stylu oraz indywidualności poprzez modę. Naszą pasją jest projektowanie ubrań dla tych, którzy cenią wolność, piękno i estetykę. To dla nich stworzyliśmy 5 marek odzieżowych - Reserved, Cropp,
TAL Apparel Limited
TAL Apparel, established in 1947 in Hong Kong, is one of the largest garment operations in the world. Driven by a simple formula of combining quality garments, on-time delivery and product innovation. TAL Apparel is well-known as the supplier of one out of every six men’s dress shirts sold in the
US Group
The name of US Group is synonymous with dependable, industry-focused, and humanized business savviness. We are a family owned professionally managed group of companies named after the first-born children Umer & Siddique of the two founders Mian Ahsan and Javed Bhatti. Since our beginning in 1975,
Frequently Asked Questions (FAQ) on Cybersecurity Incidents
ABFRL CyberSecurity History Information
Total Incidents: According to Rankiteo, ABFRL 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 Aditya Birla Fashion and Retail Ltd. (ABFRL) emerged after the consolidation of the branded apparel businesses of Aditya Birla Group comprising ABNL's Madura Fashion division and ABNL's subsidiaries Pantaloons Fashion and Retail (PFRL) and Madura Fashion & Lifestyle (MFL) in May 2015. Post the consolidation, PFRL was renamed Aditya Birla Fashion and Retail Ltd. Aditya Birla Fashion and Retail Limited is part of a leading Indian conglomerate, The Aditya Birla Group. ABFRL is India’s first billion-dollar pure-play fashion powerhouse with an elegant bouquet of leading fashion brands and retail formats. With a revenue of Rs. 8,136 cr. and spanning a retail space of 9.2 million sq. ft. (as on March 31, 2022), it has a repertoire of leading brands such as Louis Philippe, Van Heusen, Allen Solly and Peter England established for over 25 years. Pantaloons is one of India’s leading fashion retailer. ABFRL’s International Brands portfolio includes-The Collective, India's largest multi-brand retailer of international brands and it has long term exclusive partnerships with select brands such as Ralph Lauren, Hackett London, Simon Carter, Ted Baker, Fred Perry, Forever 21, American Eagle and Reebok. Van Heusen Innerwear, Athleisure and Active wear is establishing itself as India's most innovative and fashionable brand. The Company’s foray into branded ethnic wear business includes brands such as Jaypore, Tasva & Marigold Lane. ABFRL has strategic partnerships with Designers ‘Shantanu & Nikhil’, ‘Tarun Tahiliani’, ‘Sabyasachi’ and ‘House of Masaba’. ABFRL is also embarking on a significant Direct-to-Consumer play to build a portfolio of new-age brands across fashion, beauty and other lifestyle segments. The Company is bolstering its digital capabilities by scaling up its brands.com to build an integrated portfolio of digital assets to provide an immersive customer experience, deepen consumer connect of its brands and expand its portfolio into emerging consumer segments..
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.
