Investigate Scamming Freelancers

via Freelancer ·

Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted1 hour ago
Three individuals posed as independent contractors, faked references, engineered a bogus payment confirmation and then disappeared with our funds. Thanks to two accidental log-ins with their personal IDs I now hold verified names, full work-profile data and the complete transaction trail that ran through this platform. I am ready to share that evidence under NDA.

Your brief is to turn those raw facts into an airtight fraud dossier that will:

• Pinpoint every other profile or alias the same people operate on Freelancer (or elsewhere).
• Supply conclusive proof and a clear narrative I can forward to Freelancer Support so their accounts are banned without comeback.
• Map each person to the correct jurisdiction, spelling out which police or regulatory body (fraud, AML, cyber-crime units, etc.) should receive the case and what statutes apply.
• Provide a step-by-step action plan for contacting listed references, interrogating login metadata, reviewing payment flow and, if required, launching civil or criminal proceedings.

I already hold: real names, screenshots of profile edits, IP/login logs supplied by support, and bank gateway statements. You may supplement this by reaching out to their so-called references, pulling OSINT from social media, or tracing blockchain/FinTech audit trails if that shortens the path to proof.

Ideal background: digital forensics, OSINT, AML compliance, cyber-law or investigative journalism. Tool familiarity with Maltego, Wireshark, Chainalysis, or similar will help, but use whatever stack delivers the cleanest evidence.

Deliver a concise written report plus supporting artefacts (metadata exports, call recordings, affidavit templates, etc.) ready to hand to both Freelancer.com Trust & Safety and the appropriate authorities. Timeliness matters—I would like an interim findings note within one week and the final package within three.
report writing legal research data analysis fraud detection digital forensics investigative journalism data collection osint
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