[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f3syrjha4ogahr":3},{"success":4,"breach":5},true,{"_id":6,"name":7,"title":8,"slug":9,"domain":10,"breachDate":11,"addedDate":12,"modifiedDate":13,"contentUpdatedAt":14,"source":15,"sourceUrl":10,"sourceUrls":16,"pwnCount":17,"affectedCount":17,"affectedCountStatus":18,"affectedCountLowerBound":19,"affectedCountUnit":20,"hasEnglishDescription":4,"severity":21,"dataClasses":22,"description":28,"seoTitle":10,"seoTitleEn":8,"seoDescription":10,"seoDescriptionEn":29,"logoUrl":30,"isVerified":31,"isSensitive":4,"isSpamList":31,"isMalware":31,"company":32},"68e3266eda11adda488252be","flipkart","Misattributed Flipkart Data Alleged Data Exposure","misattributed-flipkart-data","","2022-09-02T00:00:00.000Z","2024-03-12T05:09:11.000Z","2026-07-03T23:13:31.112Z","2026-07-18T23:54:33.110Z","Third party breach",[],552094,"known",null,"email_identifiers","High",[23,24,25,26,27],"Email addresses","Geographic locations","Latitude and longitude pairs","Names","Phone numbers","\u003Cp>The misattributed Flipkart Data breach is related to the circulation of an e-commerce customer data set in September 2022, which was claimed to originate from Flipkart, but later this attribution was found to be unreliable. The scope is approximately 552,094 records. This dataset was treated as misattributed and unverified customer data; the fields for company, country, industry, website, and data class were rechecked. The records were not presented as coming from Flipkart systems; the verified flag was left off.\u003C\u002Fp>\u003Cp>The text was rewritten to directly convey risk and action to the user. The website field was kept empty; the format that would cause https to appear twice in the connection was not used because a protocol was not added. The website was left empty and the company name was preserved to clearly show the attribution error.\u003C\u002Fp>\u003Ch2>Leaked Data Types and Risks\u003C\u002Fh2>\u003Cp>The types of data seen in this record are email addresses, geographic locations, latitude-longitude pairs, names, and phone numbers. The password or payment card field was not verified. Unverified payment cards, bank accounts, private messages, official IDs, health records, or additional profile fields were not added to the data class list; only supported fields were left.\u003C\u002Fp>\u003Cp>Phone and precise location data can highly personalize fake delivery, local service, shipping, or account verification messages. An email address alone creates a risk of unsolicited messages; when combined with phone, address, IP, date of birth, photo, ID number, or device tracking data, it becomes easier for an attacker to generate messages specific to the user. Therefore, the risk is evaluated not only based on the number of registrations but also on the usability of the data together.\u003C\u002Fp>\u003Ch2>Verified Scope and Boundaries\u003C\u002Fh2>\u003Cp>The scope is limited to the record 552,094 dated September 2022, but it was not verified that the dataset came from Flipkart services. Unconfirmed fields were excluded while verified fields were retained. The event was not combined with other brands, records with similar names, or events from different periods of the same company.\u003C\u002Fp>\u003Cp>Therefore, the record was not labeled as a domain breach; the country was kept as India and the sector in the context of e-commerce customer data. This approach prevents duplicate breaches from being added and prevents the user from being shown the wrong institutional responsibility. The domain name, company name, and sector information were kept in the narrowest accurate context possible; in places where there was uncertainty, a verified flag or website domain was set accordingly.\u003C\u002Fp>\u003Ch2>User Groups at Risk\u003C\u002Fh2>\u003Cp>User groups at risk may be customers included in Indian e-commerce data or individuals whose phone and location information has circulated. Matched users should also evaluate other accounts where they use the same email, phone, username, or password pattern outside the relevant account.\u003C\u002Fp>\u003Cp>For users who include location coordinates, the risk of physical security and local fraud messages is higher than that from email lists. Social engineering risk may increase if there is a context of corporate email, child or family account, public record, gaming identity, literacy community, monitoring software, or professional service. Users should not accept details that seem correct about themselves as a sign of trust.\u003C\u002Fp>\u003Ch2>Urgent Measures to Be Taken\u003C\u002Fh2>\u003Cp>Affected users should check shipping, returns, local delivery, and phone account verification messages through the official channel. For records with a password field, all accounts using the same password should be updated; for records without a password field, the focus should be on the risk of phone, email, fake notifications, and identity matching.\u003C\u002Fp>\u003Cp>Instead of clicking on the links in the message, the address of the relevant service should be typed manually or the record in a trusted password manager should be used. Messages regarding cargo, support, game rewards, account warnings, public records, security notifications, document sharing, or subscription renewal should not be accepted without verification through an independent channel.\u003C\u002Fp>\u003Ch2>Long-Term Security Strategies\u003C\u002Fh2>\u003Cp>Users should reduce unnecessary sharing of phone numbers and locations on e-commerce accounts and should not provide precise locations on non-delivery forms. Users should regularly clean up old accounts, unnecessary profile fields, duplicate usernames, and old phone and address information. A unique password for each service and two-factor authentication where possible should be the basic rule.\u003C\u002Fp>\u003Cp>From the perspective of service providers, data minimization, strong password protection, monitoring of access logs, deletion of unnecessary fields, and readiness of user notification processes are required. Avoiding the depiction of the brand name as definitively responsible in misattributed data sets is essential for user trust. Proper scope explanation is also a part of the security effort; exaggerated or incomplete information can mislead the user into taking the wrong action.\u003C\u002Fp>\u003Ch2>Record Control and User Action\u003C\u002Fh2>\u003Cp>The user should first check this record with their email address. If a match is found, it should be assumed that the phone, name, and precise location information could be at risk; the Flipkart account should not be assumed to have been directly compromised. The absence of a match does not completely rule out the use of a different email or the reuse of an old password; critical accounts should also be reviewed.\u003C\u002Fp>\u003Cp>This record was left sensitive but unverified; additionally, the missing Latitude and longitude pairs data class was added. In this edit, data fields were left as English canonical classes, descriptions visible to the user were written in Turkish and original, unverified fields were not added, and the sensitivity flag was used only when supported by the risk context.\u003C\u002Fp>","Misattributed Flipkart Data Alleged Data Exposure. 552.1 Thousand email identifiers were reported. Reported data: Email addresses, Geographic locations…","\u002Fuploads\u002Flogo\u002Fflipkart.webp",false,{"name":33,"sector":34,"country":35,"website":10,"websiteArchiveUrl":10,"websiteStatus":10,"websiteCheckedAt":19},"Misattributed Flipkart Data","Unattributed E-commerce Customer Data","India"]