Most scam-awareness content is a list of "red flags". It does not test whether you can apply them under pressure, so we built a quiz that does.
What it is
- 50 scenarios based on scam patterns we see in investigations: wallet drainers, approval phishing, fake airdrops, honeypot tokens, bridge exploits, AI-impersonation scams.
- Four answers each, one correct, plus an explanation and a severity label.
- A companion glossary of 11 scam vectors with mechanics, red flags and what to do if you were hit.
Live quiz: https://cryptostrapon.github.io/crypto-scam-quiz/
Glossary: https://cryptostrapon.github.io/crypto-scam-glossary/
How it is built
The whole thing is one index.html plus a questions.json. Vanilla JS, no framework, no build step, no dependencies, no tracking. It is hosted on GitHub Pages, so a fork is live in a minute.
A few small decisions that turned out to matter:
- Shuffled answer positions. Our first draft had the right answer in the same slot far too often. We shuffled with a fixed seed so the distribution across the four slots is roughly even and the result is reproducible.
- Generalised details. The scenarios describe the pattern, not a named victim or exact figures, so they stay accurate and do not point at specific people.
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Open licensing. Code is MIT, content is CC BY 4.0, with a
LICENSE-CONTENT.mdso reuse terms are unambiguous for schools, wallets and newsrooms. -
Citable. Each repo has a
CITATION.cffand a Zenodo DOI, plus schema.orgDatasetmarkup so it can appear in dataset search.
Reuse it
Take the JSON, translate it, embed it in a training portal, or open a PR with a new scenario. Contributions and corrections are welcome.
Source: https://github.com/cryptostrapon/crypto-scam-quiz
Maintained by CryptoStrapon, a free AI crypto-scam detector: https://cryptostrapon.com
Educational resource only, not financial or legal advice.
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