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9 Million+ LinkedIn Profiles Put in Darknet for FREE

9 Million+ LinkedIn Profiles Put in Darknet for FREE

On Wednesday, we came across an interesting post where an actor was “giving away” LinkedIn resumes (or giving it for free) – per the actor, the data is from 2015-2018. The locations were mostly from European region as below:

Cyble researchers downloaded the file for further analysis :

In total there were ~9.4 million JSON objects, each JSON object is a user’s public Linkedin profile, certain profiles have an individual’s CV.

Here is a sample directory:

The fields on each file is below (essentially scapped data from Linkedin, mostly):

id ,loc__geo ,loc__country ,loc__country_code ,loc__state ,loc__state_code ,loc__county ,loc__msa ,social__youtube ,social__github ,social__wordpress ,social__facebook ,social__foursquare ,social__tumblr ,social__google ,social__personal ,social__instagram ,social__twitter ,social__vimeo ,social__flickr ,social__blogspot ,social__email ,social__stackoverflow ,er__youtube ,er__github ,er__wordpress ,er__facebook ,er__foursquare ,er__tumblr ,er__google ,er__personal ,er__instagram ,er__twitter ,er__vimeo ,er__flickr ,er__blogspot ,er__email ,er__stackoverflow ,certifications__subtitle ,certifications__title ,jscoreHistory ,experienceCurrent__date ,experienceCurrent__description ,experienceCurrent__company ,experienceCurrent__position ,completeness ,diverse ,connections ,recommendationCount ,neoId ,jscore ,downloadedAt ,industry ,fullname ,interests ,recommendations ,skills ,companyPrevious ,summary ,courses ,text ,languages ,languagesList ,educationList ,headline ,companyCurrent ,groups ,location ,na_companyCurrent ,na_location ,na_headline ,canonical ,scrapeId ,picture ,url ,na_skills ,jscore_date ,na_industry ,na_fullname ,userActiveLogs ,urls ,military ,extractorId

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Sample file (verified with the actual profile):

Source of the data: The data appears to have been scrapped from people’s LinkedIn profile. The actor alleged that they don’t have the data related to other countries at this point. However, given the scale of this leak, it won’t surprise us if that’s the case in reality.

We recommend:

  • People to tighten the privacy settings of their public LinkedIn profile
  • Stay vigilant of suspicious connection requests, and in the event of noting a fake/suspicious profile, report that to the LinkedIn support team for further actions

Cyble is currently indexing the data on AmiBreached.com and will be notifying its subscribers soon if they are affected.

On a separate note, we have shared an update on the Indian IDs leaked issue here.

About Cyble:

Cyble is a US-based cyber threat intelligence company with the express mission to provide organizations with real-time views of their supply chain cyber threats and risks.

Disclaimer: This blog is based on our research and the information available at the time of writing. It is for informational purposes only and does not constitute legal, financial, or professional advice. While we strive for accuracy, we do not guarantee the completeness or reliability of the content. If any sensitive information has been inadvertently included, please contact us for correction. Cyble is not responsible for any errors, omissions, or decisions made based on this content. Readers should verify findings and seek expert advice where necessary. All trademarks, logos, and third-party content belong to their respective owners and do not imply endorsement or affiliation. All content is presented “as is” without any guarantee that it is free of confidential, proprietary, or otherwise sensitive information. If you believe any portion of this content contains inadvertently shared or sensitive data, please contact us immediately so that we may address and rectify the issue. No Liability for Errors or Omissions Due to the dynamic nature of cyber threat activity, this [blog/report/article] may include partial, outdated, or otherwise incorrect information due to unverified sources, evolving security threats, or human error. We expressly disclaim any liability for errors or omissions or any potential consequences arising from the use, misuse, or reliance on this information.

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