One link.
One useful lesson.

Help someone recognize a scam before it reaches them. Share a public report or improve an existing case.

1. Public report link

Link to published evidence from any vendor, researcher or official source. Avoid live scam links.

2. What should people learn?

For a correction, explain what is wrong and how your source supports the change.

Add source and contributor credit (optional)

Source organization

Your name or team

Nothing is sent at this step. Leave out personal data, credentials and private messages.

Ready for your review

Your contribution

Source:

Continue on GitHub Open email to send

Opening your email app does not send the message. Review it there, then send. Contributions are reviewed before appearing in the collection.

No email app? Download the draft and send it to emilio@desenmascara.me.

What makes a useful contribution?

Translations, corrections and legitimate counterexamples count too.

AI-assisted drafts are welcome when you check the source yourself. Do not present an invented example as a real incident.

Security vendors and independent researchers receive the same attribution. You do not need a Desenmascara report, account or API key.

Publication follows evidence review, not a vote or a vendor’s reputation alone.

A public record of fraud for the AI era.
Initiated by desenmascara.me. Built to welcome everyone.

Evidence is attributed. Claims can be challenged.Original code: MIT · Editorial text: CC BY 4.0 · Screenshots retain their original rights.