[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f2h9q1q8vetp1":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":16,"sourceUrls":17,"pwnCount":19,"affectedCount":19,"affectedCountStatus":20,"affectedCountLowerBound":21,"affectedCountUnit":22,"hasEnglishDescription":4,"severity":23,"dataClasses":24,"description":32,"seoTitle":33,"seoTitleEn":8,"seoDescription":33,"seoDescriptionEn":34,"logoUrl":35,"isVerified":4,"isSensitive":36,"isSpamList":36,"isMalware":36,"company":37},"68e3266eda11adda48825277","LinkedInScrape","LinkedIn Scraped Data (2021) Public Data Exposure","linkedin-scraped-data-2021","linkedin.com","2021-04-08T00:00:00.000Z","2021-10-02T21:39:21.000Z","2023-11-07T06:51:33.000Z","2026-07-18T23:53:23.726Z","Verified breach record","https:\u002F\u002Fnews.linkedin.com\u002F2021\u002Fjune\u002Fan-update-from-linkedin",[16,18],"https:\u002F\u002Fwww.businessinsider.com\u002Flinkedin-data-scraped-500-million-users-for-sale-online-2021-4",125698496,"known",null,"email_identifiers","Critical",[25,26,27,28,29,30,31],"Education levels","Email addresses","Genders","Geographic locations","Job titles","Names","Social media profiles","\u003Cp>The LinkedIn Scraped Data (2021) record refers to a large-scale dataset collected from LinkedIn profiles that became public on April 8, 2021. This incident should not be considered as gaining access to LinkedIn's internal systems, obtaining the password database, or intercepting private in-account messages in the classic sense. Verified information shows that during the first half of 2021, publicly available profile fields were collected, this data was put up for sale online, and later circulated widely within security communities. The record is associated with approximately 400 million profile entries, of which 125,698,496 contained verified unique email addresses. Therefore, the risk is focused more on phishing, corporate targeting, professional profile matching, and social engineering rather than password cracking.\u003C\u002Fp>\n\u003Ch2>Leaking Data Types and Risks\u003C\u002Fh2>\n\u003Cp>The verified data fields in the LinkedIn Scraped Data record are education level, email address, gender, geographic location, job title, name information, and social media profile links. Password, password hash, payment card, private message, session token, security question, or official ID number are not among the verified fields for LinkedIn Scraped Data. Nevertheless, the risk should not be underestimated; professional profile information provides strong clues about a user's workplace, area of responsibility, network, and potential decision-making authority. The circulation of job title and location information along with the email address can make targeted phishing messages much more convincing. Individuals in recruitment, supply, finance, human resources, and management positions can be specifically targeted.Social media profile links, on the other hand, provide a basis for connecting the same person's accounts on different platforms and creating a broader profile.\u003C\u002Fp>\n\u003Ch2>Verified Scope and Boundaries\u003C\u002Fh2>\n\u003Cp>The LinkedIn Scraped Data incident refers to the collection of publicly available profile data, which LinkedIn itself distinguishes in its statements; it does not contain verified evidence of private member data, password information, or content from closed accounts being exposed. The incident is still significant from a security perspective, because while individual public profile fields may seem harmless, when combined in a large data set, they can turn into high-value target lists. The 125,698,496 unique email count indicates the scope of accounts that could match upon querying. The expression of approximately 400 million rows refers to the larger record volume, which may include multiple entries for the same person, duplicate profile fields, or combinations of different data sources.Therefore, the LinkedIn Scraped Data incident should not be confused with the 2012 LinkedIn password breach or the fake and mixed LinkedIn dataset that circulated in 2023. Although they are on the same domain, the date, data type, and risk model are different.\u003C\u002Fp>\n\u003Ch2>User Groups at Risk\u003C\u002Fh2>\n\u003Cp>The highest risk occurs among users who keep detailed information on their LinkedIn profile, such as job title, company name, city, educational background, and social media links. Employees, managers, human resources specialists, finance teams, sales representatives, procurement officers, and technical officials registered with a corporate email address are more sensitive in terms of targeted messages. Attackers can use this data to generate messages that appear to be real job opportunities, supplier requests, document sharing, meeting invitations, or internal announcements. If the same email address appears on different social networks, a connection can be made between a person's private life and their work identity.For job-seeking users, fake recruitment messages stand out; for managers, fake assistant or supplier correspondences; for technical teams, fake access request scenarios. In this case, even if the password has not been verified, the profile context helps the attacker to personalize their message for the individual.\u003C\u002Fp>\n\u003Ch2>Urgent Measures to Be Taken\u003C\u002Fh2>\n\u003Cp>Users matching LinkedIn Scraped Data should first check the security of their email account. The password is not a verified field in this incident; however, if the password appeared in other breaches with the same email address, the risk may combine. A strong and unique password should be used for the email account, two-factor authentication should be enabled, and unknown sessions should be closed. The email, phone, location, education, internal company role, and other social profile links that are publicly visible on the LinkedIn profile should be reviewed. Corporate users should be cautious of fake meeting, offer, invoice, recruitment, or document sharing messages that come with job title and company context. Files and login pages from unknown connections should not be opened without checking.If the same email address is used for both work and personal accounts, these accounts should be separated and unique security settings should be preferred for critical accounts.\u003C\u002Fp>\n\u003Ch2>Long-Term Security Strategies\u003C\u002Fh2>\n\u003Cp>In the long term, professional social network profiles should be seen not only as a visibility tool but also as an attack surface. Unnecessary personal details should be minimized in publicly accessible profile areas; city, year of education, previous workplaces, connection lists, and other social profile links should only be displayed when necessary. Organizations should reinforce security awareness training with real scenarios, recognizing that employees' publicly available job titles increase the risk of targeted phishing. Two-factor authentication, a password manager, and the use of unique passwords should be considered basic standards. Email addresses should be separated for different purposes; work, social network, and personal use should not be combined under the same address.The circulation of profile data on the internet is a situation that is difficult to reverse; therefore, limiting visible areas from the very beginning is the most effective strategy to reduce subsequent risks.\u003C\u002Fp>\n\u003Ch2>Record Control and User Action\u003C\u002Fh2>\n\u003Cp>A match in a LinkedIn Scraped Data record does not mean that your LinkedIn password has been stolen; it means that your email address and some profile fields are included in a large bulk data set. The first action should be to check the security settings of your email account and LinkedIn account. Then, profile visibility should be reduced, unnecessary social media connections removed, and a higher level of caution adopted for unexpected messages coming through job titles. People using corporate accounts can report this match to the security team, because targeted phishing often starts with a single employee and then moves towards the company systems. Even if there is no match, the LinkedIn Scraped Data incident shows that public profile data can be combined into large sets.The most accurate approach is to reduce visible profile information, protect accounts with separate passwords, and develop a regular checking habit against messages that abuse professional identity.\u003C\u002Fp>","","LinkedIn Scraped Data (2021) Public Data Exposure. 125.7 Million email identifiers were reported. Reported data: Education levels, Email addresses, Genders…","\u002Fuploads\u002Flogo\u002Flinkedin_com.webp",false,{"name":38,"sector":39,"country":40,"website":10,"websiteArchiveUrl":33,"websiteStatus":33,"websiteCheckedAt":21},"LinkedIn","Professional social network","United States"]