
Aditya Birla Retail Limited Company Cyber Security Posture
moreretail.inMore Retail Limited ventured into food and grocery retail in 2007 through the acquisition of Trinethra Super Retail and subsequently expanded its presence nationally under the brand "moreโ across Supermarkets & Hypermarkets. There are currently 494 Supermarkets and 20 Hypermarkets which aims to offer a shopping experience that delivers unbeatable value and quality. MORE takes pride in being the first ever Indian food and grocery retailer to receive the FSMS (Food Safety Management System) certification, awarded for ensuring the manufacture, storage, distribution and sale of food that adheres to the highest quality standards. MORE also has its own comprehensive range of brands like 110%, Feaster, Kitchenโs Promise, Selecta, Prarthana etc that offer unbeatable value for homemakers, Kruff Jeans Company, Be Casuals, Karinee, Kruff, Berwins, Incheels, Chatter Kids and Yo, which caters the Fashion enthusiasts.
ABRL Company Details
aditya-birla-retail-limited
10,001+ employees
28475
452
Retail
moreretail.in
3
ADI_3299117
In-progress

Between 800 and 900
This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.

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Aditya Birla Retail 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 800 and 900 |
Aditya Birla Retail Limited Company Cyber Security News & History
Entity | Type | Severity | Impact | Seen | Url ID | Details | View |
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Aditya Birla Retail Limited Company Subsidiaries

More Retail Limited ventured into food and grocery retail in 2007 through the acquisition of Trinethra Super Retail and subsequently expanded its presence nationally under the brand "moreโ across Supermarkets & Hypermarkets. There are currently 494 Supermarkets and 20 Hypermarkets which aims to offer a shopping experience that delivers unbeatable value and quality. MORE takes pride in being the first ever Indian food and grocery retailer to receive the FSMS (Food Safety Management System) certification, awarded for ensuring the manufacture, storage, distribution and sale of food that adheres to the highest quality standards. MORE also has its own comprehensive range of brands like 110%, Feaster, Kitchenโs Promise, Selecta, Prarthana etc that offer unbeatable value for homemakers, Kruff Jeans Company, Be Casuals, Karinee, Kruff, Berwins, Incheels, Chatter Kids and Yo, which caters the Fashion enthusiasts.
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ABRL Cyber Security News
Krypton India Concludes a Power-Packed 2nd Edition of CyberSec Innovation Summit and Awards 2025 in Mumbai
Krypton India Concludes a Power-Packed 2nd Edition of CyberSec Innovation Summit and Awards 2025 in Mumbai ยท Technology Champion of the Year:ย ...
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.
Strengthening Cybersecurity in the Financial Sector: A Case Study on JM Financial Asset Management
JM Financial Asset Management Limited has achieved a significant leap in cybersecurity, securing its operations against evolving cyber threats.
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.
NSDC skills polytechnic, ITI students in job roles related to AI, EV, renewable energy, cybersecurity
NSDC has been training youth in emerging technologies such as Artificial Intelligence (AI), data science, Electric Vehicles (EVs), renewable energy, smartย ...
Aditya Birla Fashion and Retail Ltd. (ABFRL) Hacked โ 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.
Cybersecurity Mantras for Retail: Protecting Your Customers and Your Business
Cybersecurity Mantras for Retail ยท 1. Assume you will be breached. ยท 2. Patch your systems regularly. ยท 3. Use strong passwords and multi-factorย ...
India's ABFRL's revenue soars 13% in FY24
Aditya Birla Fashion and Retail Ltd reported a consolidated revenue of โน139.96 billion for FY24, up 13 per cent YoY, with a PAT of minus โน7.36ย ...

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Frequently Asked Questions (FAQ) on Cybersecurity Incidents
ABRL CyberSecurity History Information
Total Incidents: According to Rankiteo, ABRL has faced 0 incidents in the past.
Incident Types: As of the current reporting period, ABRL has not encountered any cybersecurity incidents.
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 More Retail Limited ventured into food and grocery retail in 2007 through the acquisition of Trinethra Super Retail and subsequently expanded its presence nationally under the brand "moreโ across Supermarkets & Hypermarkets. There are currently 494 Supermarkets and 20 Hypermarkets which aims to offer a shopping experience that delivers unbeatable value and quality. MORE takes pride in being the first ever Indian food and grocery retailer to receive the FSMS (Food Safety Management System) certification, awarded for ensuring the manufacture, storage, distribution and sale of food that adheres to the highest quality standards. MORE also has its own comprehensive range of brands like 110%, Feaster, Kitchenโs Promise, Selecta, Prarthana etc that offer unbeatable value for homemakers, Kruff Jeans Company, Be Casuals, Karinee, Kruff, Berwins, Incheels, Chatter Kids and Yo, which caters the Fashion enthusiasts..
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.
