[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f3dbeqkk3i9c7r":3},{"success":4,"breach":5},true,{"_id":6,"name":7,"title":8,"slug":9,"domain":10,"breachDate":11,"addedDate":12,"modifiedDate":12,"contentUpdatedAt":13,"source":14,"sourceUrl":15,"sourceUrls":16,"pwnCount":17,"affectedCount":17,"affectedCountStatus":18,"affectedCountLowerBound":19,"affectedCountUnit":20,"hasEnglishDescription":4,"severity":21,"dataClasses":22,"description":30,"seoTitle":10,"seoTitleEn":31,"seoDescription":10,"seoDescriptionEn":32,"logoUrl":33,"isVerified":4,"isSensitive":34,"isSpamList":34,"isMalware":34,"company":35},"68e3266eda11adda488251e6","FrenchCitizens","French Citizens 2024 Data Breach","french-citizens","","2024-09-25T00:00:00.000Z","2024-12-20T09:54:50.000Z","2026-07-21T17:23:10.247Z","Verified breach record","https:\u002F\u002Fcybernews.com\u002Fsecurity\u002Ffrench-records-exposed-by-mysterious-data-hoarder\u002F",[15],28445106,"known",null,"unknown","Critical",[23,24,25,26,27,28,29],"Device information","Email addresses","IP addresses","Names","Partial credit card data","Phone numbers","Physical addresses","\u003Cp>\u003Cstrong>The French Citizens data breach\u003C\u002Fstrong> relates to a multi-source collection found exposed on the internet on September 25, 2024. The verified record covers 28,445,106 unique email addresses. It must not be interpreted as one company's system or as a uniform user population. Rows from multiple incidents and data sets appeared in the same environment, so the fields associated with any one person remain variable.\u003C\u002Fp>\u003Cp>The significance of this record comes not only from the number of email addresses, but also from the possible combination of names, phone numbers, physical addresses, IP information, device details, and limited payment-card elements. A match means that an email address appeared in the collection. It does not mean that every field was present for that person, that every person in France was affected, or that the person held an account with a particular organization.\u003C\u002Fp>\u003Ch2>Exposed Data Types and Risks\u003C\u002Fh2>\u003Cp>The verified data classes are device information, email addresses, IP addresses, names, partial credit card data, phone numbers, and physical addresses. Because the contributing data sets did not carry the same fields, one row may include an email address and phone number while another may hold only an address or device detail. Listing the categories does not mean that every match contains every category.\u003C\u002Fp>\u003Cp>Partial payment-card data does not mean a full card number or card security code was present. Even so, limited elements such as payment type or a final four-digit fragment can make targeted fraud attempts appear more convincing when combined with contact information. Phone numbers and physical addresses can support fake delivery, bank-notice, or public-service messages. IP and device details can provide limited context about a session, region, or device habit.\u003C\u002Fp>\u003Cp>Passwords are not among the verified data classes for this record. The absence of a password category does not eliminate risk. An email address, name, and phone number can be combined with details from older incidents to support password-reset, support-request, or authentication-code scams. A sound response considers the personalization risk created by the combination of fields, not only one field in isolation.\u003C\u002Fp>\u003Ch2>Verified Scope and Limits\u003C\u002Fh2>\u003Cp>More than 90 million rows were reported in the exposed collection, while the canonical record contains 28,445,106 unique email addresses. These figures measure different things. The first describes raw row volume; the second describes a deduplicated email-address scope. The same person or address can appear in multiple files or rows, so a raw-row total cannot be converted directly into a count of people.\u003C\u002Fp>\u003Cp>The investigation identified signs of at least seventeen related data sets. File names and the diversity of fields indicate that the material came from different historical incidents or collection processes. The original source of every file and the reality of every incident suggested by a file name were not independently established. It would therefore be inaccurate to tie the collection to one attacker, one victim organization, or one access method.\u003C\u002Fp>\u003Cp>The owner of the exposed environment was not identified. That uncertainty prevents conclusions such as closing accounts at a named brand, treating every customer of an organization as at risk, or assigning a matched person to one specific data origin. The date on this page represents the period when the collection was found exposed; it does not establish when each component file was first created. Field coverage varies by person and should be interpreted cautiously.\u003C\u002Fp>\u003Ch2>Users at Elevated Risk\u003C\u002Fh2>\u003Cp>People whose email address, phone number, and physical address appear together face a greater risk of phishing and social-engineering attempts that use personal details. An attacker can use a realistic address, local-service name, or contact preference to prepare messages about delayed deliveries, tax refunds, bank security, or account renewals. Personal details in a message are not evidence that the sender is trustworthy.\u003C\u002Fp>\u003Cp>People matched with partial payment-card information should be especially cautious about calls involving card renewal, transaction verification, or refunds. Knowledge of the final four digits of a card does not prove that a caller represents the bank. When a sensitive request arrives in the name of a bank or payment provider, use the number printed on the card or the provider's official application to establish contact independently.\u003C\u002Fp>\u003Cp>People who use the same contact details in work, family, or public profiles may also be easier to target. IP and device information alone do not prove a location or account compromise, but they can help build convincing target selection when combined with other public details. Anyone who uses one email address across many online services should examine unexpected security notices with particular care.\u003C\u002Fp>\u003Ch2>Immediate Protective Actions\u003C\u002Fh2>\u003Cp>First, confirm that the password for the email account is unique and that multi-factor authentication is enabled. Because this record does not list a password category, a match alone should not be treated as proof that every password was exposed. The email account is still a recovery point for other services, so its security deserves immediate review. End unfamiliar sessions and check that recovery phone numbers and secondary addresses are current.\u003C\u002Fp>\u003Cp>Review payment-card activity and bank alerts regularly. Contact the card issuer through an official channel when you see unfamiliar small charges, suspicious verification requests, or card-renewal messages. A decision to replace a card should rest on additional signs such as a suspicious transaction or advice from the issuer. Do not disclose card details, one-time codes, or identity documents in response to an unsolicited call.\u003C\u002Fp>\u003Cp>Evaluate the link destination, sender domain, and requested action separately in email, text messages, and calls. A message that uses the name of a delivery service, public office, bank, or customer-support team still needs independent confirmation, even when it includes personal details. Removing unnecessary address, phone, and birth-date details from social and professional profiles can also make later targeting attempts harder.\u003C\u002Fp>\u003Ch2>Long-Term Security Practices\u003C\u002Fh2>\u003Cp>Using a long, unique password for every service limits the impact of multi-source data collections. A password manager can reduce reuse and help store strong credentials. Prefer an authenticator application or a hardware key for multi-factor authentication where available. Text-message codes add protection, but they do not remove every social-engineering risk.\u003C\u002Fp>\u003Cp>Review account-recovery settings at regular intervals. Remove unfamiliar forwarding addresses, phone numbers, connected applications, or sessions. Check email rules as well; attackers may try to add forwarding or archiving rules that hide security notices. These checks are valuable for every digital account, not only for this event.\u003C\u002Fp>\u003Cp>Reducing data disclosure is also a durable defense. Leave nonessential fields blank in giveaway, credit, discount, delivery, and membership forms, and use a separate contact address when practical. Review privacy settings supplied by services and limit third-party sharing. The less context personal information reveals online, the harder it becomes to build convincing targeted contact from broad collections.\u003C\u002Fp>\u003Ch2>Record Check and User Action\u003C\u002Fh2>\u003Cp>Use the record check on this page to see whether your email address matches the French Citizens collection. A match indicates that the address falls within the verified scope; it does not establish that every data type appeared in your row, that an account was compromised, or that one organization supplied the data. Treat the result as a personal risk signal and prioritize account-security checks.\u003C\u002Fp>\u003Cp>If there is no match, older email addresses, aliases, and accounts you no longer use may still deserve review. A lack of a match is not a guarantee that no personal data exists elsewhere online. Maintaining regular security checks, confirming suspicious contact through an independent channel, and reviewing payment activity remain the most reliable approach.\u003C\u002Fp>","French Citizens 2024 Data Breach (28.4 Million Reported Records)","French Citizens 2024 Data Breach. 28.4 Million reported records were reported. Reported data: Device information, Email addresses, IP addresses. Review the…","\u002Fuploads\u002Flogo\u002Ffrench_citizens.webp",false,{"name":36,"sector":37,"country":38,"website":10,"websiteArchiveUrl":10,"websiteStatus":10,"websiteCheckedAt":19},"French Citizens Dataset","Aggregated Dataset","France"]