Investigation archive

Different scams. One evidence standard.

Every case profile below is anonymized to protect victim identities. Details are generalized to illustrate the fraud pattern and the type of technical work involved — not to identify any individual matter.

AnonymizedNo case identifies a real victim.
Pattern-focusedIllustrates method, not outcome claims.
Evidence-firstSame documentation standard, every case.
No guaranteesResults depend on evidence and cooperation.

Case categories

Case profiles by fraud type.

Each profile reflects a recurring pattern seen across multiple investigations, generalized so it cannot be traced back to a specific person.

All Investment fraud Wallet draining Impersonation Romance fraud Recovery scams Laundering paths
Case profile

Investment Platform Fraud

Review of deposits, controlled withdrawal events, wallet destinations and the digital infrastructure used to support a fabricated trading environment.

Focus // tracingOutput // report
Case profile

Wallet Drainer Incident

Reconstruction of the approval or signing event, outgoing transfers, connected addresses and the timeline surrounding the compromise.

Focus // movementOutput // timeline
Case profile

Impersonation Network

Correlation of aliases, domains, messaging accounts, payment instructions and wallet activity used across a coordinated scam operation.

Focus // attributionOutput // evidence
Case profile

Romance & Trust Fraud

Timeline reconstruction of a long-term social-engineering relationship combined with fabricated trading or investment activity.

Focus // timelineOutput // dossier
Case profile

Recovery Scam Encounter

Documentation of a secondary fraud attempt targeting a prior victim through false recovery guarantees and advance-fee demands.

Focus // patternOutput // warning
Case profile

Cross-Border Laundering Path

Mapping of layered transfers through multiple wallets, bridges and services intended to obscure the destination of stolen funds.

Focus // routingOutput // map

Behind every profile

The same method, applied consistently.

Why cases are anonymized

Publishing identifiable victim details would create risk without adding value. What matters for future victims is recognizing the pattern — not the identity of who it happened to.

01
Verified before publishedOnly patterns confirmed through case work are described here.
02
Generalized detailsAmounts, names, dates and platforms are abstracted or omitted.
03
No outcome claimsA profile describes the method, not a promised or guaranteed result.
04
Updated as patterns evolveNew categories are added as fraud infrastructure changes.

Recognize a pattern above?

Your case might fit a known signature.

If your situation resembles one of these categories, that context can speed up the initial technical review. Submit what you currently have for assessment.

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