Alibaba Group Company Cyber Security Posture
alibabagroup.comAlibaba Group’s mission is to make it easy to do business anywhere. The company aims to build the future infrastructure of commerce. It envisions its customers will meet, work and live at Alibaba and that it will be a good company lasting for 102 years. We pledged to reach carbon neutrality by 2030. By working with merchants and consumers, the company expects to slash carbon emissions by 1.5 gigatons across its digital ecosystem by 2035. Sign up for Alibaba news at alizi.la/signup
Alibaba Group Company Details
chinese-alibaba-group
79586 employees
1191993
511
Software Development
alibabagroup.com
1048
ALI_3220220
In-progress
Alibaba Group Risk Score (AI oriented)Between 500 and 600
This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.
Alibaba Group Global Score.png)
Alibaba Group 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 500 and 600 |
Alibaba Group Company Cyber Security News & History
| Entity | Type | Severity | Impact | Seen | Url ID | Details | View |
|---|---|---|---|---|---|---|---|
| Alibaba.com | Breach | 100 | 5 | 09/2018 | ALI212330922 | Link | |
Rankiteo Explanation : Attack threatening the organization's existenceDescription: Chinese police arrested 21 suspects for theft of customer information from Alibaba Group Holding’s logistics affiliate Cainiao Network. More than 10 million pieces of client data was compromised. Compromised information includes user names, phone numbers and parcel tracking numbers. Barcode scanners used in its distribution stations had been infected with malware. Police investigation determined that none of the illegally obtained data had been shared with any third parties. | |||||||
| Alibaba Group | Data Leak | 85 | 4 | 09/2018 | ALI138311022 | Link | |
Rankiteo Explanation : Attack with significant impact with customers data leaksDescription: Chinese police arrested 21 suspects in connection with the theft of customer information from Alibaba Group Holding’s logistics affiliate Cainiao Network. More than 10 million pieces of client data including user names, phone numbers and parcel tracking numbers were stolen from Cainiao. Barcode scanners used in its distribution stations had been infected with malware. The security breach had now been fixed. It had detected a suspicious malware infection in some of the parcel scanners used by its logistics partners. None of the illegally obtained data had been shared with any third parties. | |||||||
| Alibaba Group | Data Leak | 60 | 3 | 01/2020 | ALI150121222 | Link | |
Rankiteo Explanation : Attack with significant impact with internal employee data leaksDescription: An Alibaba-owned project called City Brain has advanced video and processing ability for facial detection, real-time information statistics and feeds, crime and traffic offenders, and much more. City Brain exposed its own data via elastic search engine instances that were left open without any authentication It left all the data from its processing open for anybody to view. It involved 56GB of data across 22 indices that appeared to be a mix of test and production naming. Within the indices were links to a cloud system for City Brain vendors. Links and indices revealed that the data belongs to which city. Luzhou and Hangzhou are both well-known cities involved with the City Brain program. | |||||||
| RedMart | Data Leak | 85 | 4 | 10/2023 | RED4498523 | Link | |
Rankiteo Explanation : Attack with significant impact with customers data leaksDescription: A customer database containing the private information of 1.1 million RedMart user accounts was breached, and this information was then sold on an internet forum. The data leak was confirmed by a representative for e-commerce behemoth Lazada, which also owns e-grocer Redmart. It was discovered that the stolen personal data included names, phone numbers, e-mail addresses, mailing addresses, passwords that were encrypted, and a portion of credit card numbers. Customers were also cautioned by Lazada to watch out for phishing emails, in which con artists pose as Lazada representatives and request critical information. | |||||||
| Alibaba Group | Data Leak | 85 | 3 | 09/2020 | ALI11519623 | Link | |
Rankiteo Explanation : Attack with significant impact with internal employee data leaksDescription: Alibaba, a Chinese tech giant, was found to have servers that were used for data theft, with at least 72 servers sending data to China. Media have been informed by reputable intelligence sources that Chinese data cloud servers are transmitting user data from India to China and that equipment from Chinese technology giant Alibaba located in India may be implicated. According to reports, companies engaged in such operations have close ties to the Chinese government or the Chinese Communist Party. Intelligence agents have estimated that 72 servers are involved in the transfer of Indian user data to China and have alerted the media that a thorough investigation may soon begin to uncover Chinese cyber espionage intentions in the nation. | |||||||
Alibaba Group Company Subsidiaries
Alibaba Group’s mission is to make it easy to do business anywhere. The company aims to build the future infrastructure of commerce. It envisions its customers will meet, work and live at Alibaba and that it will be a good company lasting for 102 years. We pledged to reach carbon neutrality by 2030. By working with merchants and consumers, the company expects to slash carbon emissions by 1.5 gigatons across its digital ecosystem by 2035. Sign up for Alibaba news at alizi.la/signup
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Alibaba Group Cyber Security News
Malware Hidden in AI Models on PyPI Targets Alibaba AI Labs Users
A new malware hidden inside AI/ML models on PyPI has been spotted targeting Alibaba AI Labs users. Learn how attackers exploit Pickle files!
Strengthening Security in the AI Era: Alibaba Cloud Showcases Security Solutions for Diverse Cloud Environments
Alibaba Cloud has recently announced new features for its unified security solution and content delivery service.
Cybercriminals claim massive data breach at Taobao, 600M users potentially affected
Babuk ransomware, a threat actor targeting big enterprises, claims to have stolen data from Taobao, an Alibaba Group-owned online shopping ...
US lawmakers urge SEC to delist Alibaba and Chinese companies, FT reports
Two Republican lawmakers have urged the U.S. Securities and Exchange Commission to delist Chinese companies, including Alibaba Group ...
Why Alibaba Cloud has Released 100 Open-Source AI Models
Alibaba Cloud, the cloud computing arm of Chinese e-commerce giant Alibaba Group, has announced the release of over 100 open-source large ...
China reportedly admitted directing cyberattacks on US infrastructure
The Chinese delegation reportedly said their nation's cyberattacks on US infrastructure were linked to America's support for Taiwan. China ...
Alibaba Cloud boosts unified security for multi-cloud setups
Alibaba Cloud, the cloud unit of Alibaba Group, has introduced new security features to simplify the management of complex multi-cloud and ...
From World Champions to State Assets: The Outsized Impact of a Few Chinese Hackers
Today, Cyber Kunlun stands as the top Chinese team contributing to Microsoft's bug bounty program. It was responsible for over 40 percent of ...
Hacker Tricked SSL.com To Get Certificate Issued for Alibaba Cloud Domain
A prominent certificate authority (SSL.com) has disclosed a significant security vulnerability in its domain validation system that could allow ...
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Frequently Asked Questions (FAQ) on Cybersecurity Incidents
Alibaba Group CyberSecurity History Information
Total Incidents: According to Rankiteo, Alibaba Group has faced 5 incidents in the past.
Incident Types: The types of cybersecurity incidents that have occurred include ['Data Leak', '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 Alibaba Group’s mission is to make it easy to do business anywhere. The company aims to build the future infrastructure of commerce. It envisions its customers will meet, work and live at Alibaba and that it will be a good company lasting for 102 years. We pledged to reach carbon neutrality by 2030. By working with merchants and consumers, the company expects to slash carbon emissions by 1.5 gigatons across its digital ecosystem by 2035. Sign up for Alibaba news at alizi.la/signup.
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: The most common types of attacks the company has faced are ['Data Leak'].
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.
