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Fraud intelligence

Report Trends

Which fraud patterns and payment channels appear most often in moderated reports — honestly counted, deduplicated and privacy-protected.

Most reported patterns in published reports — not 'most confirmed frauds' and not a ranking of people or companies.

Live · reviewed data

Published, moderated reports

Recomputed live from reports with status 'published'. Approving, correcting or withdrawing a report changes these numbers; new submissions do not.

Not enough published reports yet. Charts appear once a group reaches 5 reports — we will not pad them.

0 published → 0 counted after removing 0 duplicate or excess reports (same reporter + transaction; max 3 per reporter per month).

Groups with fewer than 5 reports are never shown. · Reported incidents, not verified prevalence. Counts reflect what people chose to report and moderators approved — not how common fraud is.

Preliminary · unverified · pending editorial review

External community-source snapshot

Source file dated Oct 17, 2026 · summary prepared Nov 2, 2026

A privately held community blacklist of 276 entries was analysed for patterns only. No entry has been reviewed, and none is shown, named or searchable.

Reported contact channels

  1. 01WhatsApp contact123 / 276
  2. 02Link / reference61 / 276
  3. 03Telegram contact13 / 276

How many entries list a usable contact of each type. This says where contact happened, not that a platform is fraudulent.

Pattern keywords in free-text reports

  1. 01Non-delivery / ghosting81 / 276
  2. 02Shipping / tracking / customs63 / 276
  3. 03Further fees / additional payment46 / 276
  4. 04Product quality / testing44 / 276

Automated, overlapping keyword matches. One entry can match several patterns. Not unique incidents, not confirmed.

Method & provenance

  • Source: an external community-compiled list, not submitted through this website.
  • Status of every entry: needs review · source only, unverified · private · rights not checked · business link not established.
  • Counts come from simple keyword heuristics on the original free text; they overlap and are non-exhaustive.
  • No names, phones, wallets or organizations from the source are published or used in public search.