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|    CONSPRCY    |    How big is your tinfoil hat?    |    2,445 messages    |
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|    Message 2,068 of 2,445    |
|    Mike Powell to All    |
|    16TB of corporate intelli    |
|    12 Dec 25 09:50:30    |
      TZUTC: -0500       MSGID: 1825.consprcy@1:2320/105 2da168d7       PID: Synchronet 3.21a-Linux master/123f2d28a Jul 12 2025 GCC 12.2.0       TID: SBBSecho 3.28-Linux master/123f2d28a Jul 12 2025 GCC 12.2.0       BBSID: CAPCITY2       CHRS: ASCII 1       FORMAT: flowed       16TB of corporate intelligence data exposed in one of the largest       lead-generation dataset leaks              Date:       Thu, 11 Dec 2025 11:25:00 +0000              Description:       We've just witnessed the mother of all leaks as researchers found an       unprotected behemoth database.              FULL STORY               - Researchers found an unprotected 16TB MongoDB database exposing nearly two       billion PII-filled records        - Data likely scraped from LinkedIn and Apollo.io, tied to a possible       leadgen company        - Database was secured after disclosure, but exposure duration and malicious       access remain unknown              More than 16 terabytes of professional and corporate intelligence data,       including personally identifiable information (PII), was sitting in an       unprotected database, available to anyone who knew where to look.               This is according to cybersecurity researchers at Cybernews who found the       database and described it as one of the largest lead-generation datasets to       have ever leaked.               Despite the risks and the disruptive potential, unprotected databases remain       one of the most common causes of data leaks. In this instance, the        researchers found a MongoDB database with almost 4.3 billion documents.               Personally identifiable information              The documents were split into nine collections, labeled intent, profiles,       people, sitemap, and companies - among others. This structure led the       researchers to believe that the database was likely scraped, possibly from       LinkedIn and Apollo.io (an AI sales platform).               Of the nine collections, at least three contained personally identifiable       information. These collections, holding almost two billion files, exposed       peoples names, emails, phone numbers, LinkedIn URLs and profile handles,       position titles, employers, employment history, education, degrees and       certifications, location data, languages, skills, functions, social media       accounts, image URLs, email confidence scoring, and Apollo IDs.               One of the collections also had peoples photographs. All of the PII exposed       put users at serious risk of identity theft or fraud.               Cybernews says it could not attribute the database to a specific entity       without reasonable doubt, but said that it did find clues pointing to a lead       generation company.               The company helps businesses find and connect with potential customers,       providing access to a large-scale B2B database of leads that strongly       correlates with the type of information included in the exposed database, the       report states. The researchers reached out to that company, and while they        did not get confirmation of ownership, the database was locked down two days       later.               It is also unknown for how long the instance remained open, or if a malicious       actor accessed it before, but its certainly possible.                Via Cybernews               ======================================================================       Link to news story:       https://www.techradar.com/pro/security/16tb-of-corporate-intelligence-data-exp       osed-in-one-of-the-largest-lead-generation-dataset-leaks              $$       --- SBBSecho 3.28-Linux        * Origin: Capitol City Online (1:2320/105)       SEEN-BY: 105/81 106/201 128/187 129/14 305 153/7715 154/110 218/700       SEEN-BY: 226/30 227/114 229/110 134 206 300 307 317 400 426 428 470       SEEN-BY: 229/664 700 705 266/512 291/111 320/219 322/757 342/200 396/45       SEEN-BY: 460/58 633/280 712/848 902/26 2320/0 105 304 3634/12 5075/35       PATH: 2320/105 229/426           |
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