// investigation guide

pig butchering / long-con investment scam — methodology

pig butchering is a long-con — not a single phishing email, not a hack. evidence spans dating-app history, months of chat grooming, fake platform screenshots, and an on-chain deposit graph — ethereum tx decode, flow visualization, and mixer detection on the way out. the victim is not stupid; they were targeted by a professionalized operation.

what evidence exists and how fast it dies

artifactvolatilitytime to loss
WhatsApp chat export / ChatStorage.sqlitepersistent on devicegone after uninstall or remote wipe
on-chain transactionsimmutablenever — but mixer breaks trace
fake platform websiteephemeraloften offline within weeks of realization
victim screenshotsonly if savedmost victims do not export camera roll
bank / wire recordspersistent90+ days at most institutions

the first 10 minutes

  1. do not confront the scammer — they will vanish and wipe chat.
  2. export WhatsApp chat with timestamps (iOS: Export Chat → Without Media).
  3. photograph every screen of the fake platform before it goes down.
  4. save every deposit wallet address and transaction hash.
  5. list every dollar/crypto amount moved, chronologically.
  6. identify all borrowed capital (family loans, HELOC) — highest-stakes conversation.
  7. begin on-chain analysis from victim wallet on a block explorer.
  8. file FBI IC3 with all evidence attached.
  9. get a local police case number (needed for bank disputes).
  10. begin the path below — all locally, no upload.

the path

  1. 1. ios dating app artifact forensic extractor

    export Hinge/Bumble/Tinder sqlite or plist from device backup. surfaces match date, pre-move-off messages, We Met confirmations.why first: the con starts on the dating app — document the origin before the scammer moves you to WhatsApp.

  2. 2. ios whatsapp artifact forensic extractor

    ChatStorage.sqlite from iOS backup. reconstruct grooming timeline, TaiKun link introduction, tax-hold pressure messages.why second: months of daily chat is the core evidence — export before uninstall.

  3. 3. ios screenshot burst forensic analyzer

    photos.sqlite from backup — burst sessions of platform dashboard screenshots (balance, withdrawal errors).why third: victims screenshot the fake platform obsessively — bursts correlate with deposit events.

  4. 4. ethereum tx decoder

    raw signed tx hex or wallet export rows. decode victim → scam-pool deposits.why fourth: on-chain deposits are immutable proof of money movement.

  5. 5. crypto tx graph

    edge list from deposit addresses through scam pool to mixer sink.why fifth: visualize downstream flow for IC3 / exchange subpoena targets.

  6. 6. crypto mixer pattern detector

    BTC trace csv if secondary rails involved — CoinJoin / known mixer inputs.why sixth: many pig-butchering ops launder through mixers within 48h of victim deposit.

  7. 7. bitcoin tx decoder

    tax-hold wire or secondary BTC payment hex — decode outputs for handoff.why seventh: the final 'tax compliance' payment is often a separate rail from the main USDT deposits.

  8. 8. crypto wallet classifier

    MetaMask / exchange export csv — classify victim and scam addresses by chain and format.why last: clean address inventory for law enforcement and exchange abuse reports.

common false leads

  • he sent a video so he is real — videos are pulled from social media or deepfaked.
  • I withdrew once so the platform is legit — small test withdrawals are a trust-building feature.
  • Tornado Cash means we cannot trace — true after the mixer, false before the on-ramp.
  • the tax hold is real — no legitimate platform asks you to wire more to release a withdrawal.

what we can tell you, what we can't

we can tell you:

  • full conversation timeline matching known pig-butchering scripts
  • on-chain graph from victim wallet through scam pool toward mixers
  • deposit-side exchange clustering (sometimes)
  • screenshot burst patterns tied to platform interaction

we can't tell you:

  • recover funds — extremely unlikely after mixer
  • identify the individual operator — often scripted workers in forced-labor compounds
  • guarantee prosecution — jurisdiction is the obstacle

handing it off

  • FBI IC3 (US): chat exports, wallet addresses, tx hashes, platform screenshots, timeline.
  • local police: case number for bank / credit disputes.
  • chain tracing partners: Chainalysis / TRM / Elliptic if you have access via counsel or exchange.

reference investigation

synthetic fixture miranda-pig-butchering — Hinge → WhatsApp grooming → TaiKun Capital fake exchange → $148k drained, seed miranda-pig-butchering:v1. compare via npm run check:flagship (40/40 fleet · 8 for this scenario).

proof page: /forensics/proof/miranda-pig-butchering · case playbook: case type tools

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