Frequently Asked Questions
Answers to the questions readers send most: wallet hygiene, what to do in the first hour after a theft, how we verify a case, and what the glossary (263 terms), quiz and AI detector are for.
What is CryptoStrapon?
A pattern library. We document how people lose money so you don't have to experience it firsthand. Investigations, AI tools, educational content—all free, all based on real cases.
How do I protect my crypto wallet?
Never share your seed phrase. Ever. With anyone. If someone asks for it, they're stealing from you—no exceptions. Hardware wallets for holdings you'd cry over. 2FA everywhere. Verify addresses character by character. Urgency is a red flag, not a deadline.
What do I do if I've been scammed?
Stop all communication. Document everything—screenshots, transaction IDs, wallet addresses, messages. Report to FTC, FBI IC3, your state AG. And be extremely wary of "recovery services"—they've already seen you coming. The same lists get sold twice.
Are these scams really happening?
Every. Single. Day. All investigations in Dark Bits are based on real scams—verified sources, blockchain evidence, citations. Billions lost annually. The stories repeat because the scams do. We just write them down.
How often do you update scam alerts?
Continuously. Scammers don't take holidays. Neither do we. New patterns emerge, we document them. It's not glamorous work—but someone has to do it.
Is this website affiliated with any cryptocurrency exchange or company?
No. Independent. Unaffiliated. That's how we stay honest. Nobody pays us to look the other way. Nobody can afford to.
Is this legal or financial advice?
No. We teach pattern recognition—not investment strategy. For legal or financial decisions, hire someone with a license. We document schemes. They handle paperwork.
How can I use the AI Scam Detector?
Paste any suspicious message. The AI checks for red flags and manipulation patterns. Free, fast, educational. Not infallible—but better than trusting a stranger who found you on Telegram.
What is the Scam Detection Quiz?
A test built from real cases. Pattern recognition is cheaper than fund recovery. Learn from other people's expensive mistakes—the tuition hurts less.
Can I submit a scam I encountered?
Contact form. We review submissions for future investigations. No promises—but every data point helps track the ecosystem. Your loss might prevent someone else's.
What are the most common crypto scams I should watch out for?
Phishing. Fake investments with "guaranteed" returns. Rug pulls. Romance scams. Fake airdrops. Impersonation. Job scams. Ponzis in DeFi clothing. Same playbook, different costumes.
How do you investigate scams and build your AI tools?
Blockchain monitoring. On-chain analysis. Victim interviews (anonymized). Three-plus independent sources per claim. Our AI checks 60+ signals. Thorough? Yes. We've watched too many shortcuts turn into headlines.
Where can I learn scam terminology?
The Glossary. Every term scammers use—from "Flash USDT" to "Satoshi Test." Learn their vocabulary, recognize their scripts.
Who are S, Gloss, and Bit?
The squad behind every investigation. One finds the receipts. One decodes the slang. One writes it all down. They run the con—we run the autopsy.
Who is S the Lead Detective?
Field operative CS-001. Specializes in OTC stings and Ponzi autopsies. If someone's moving dirty money through a handshake deal, S already has the receipts. Mantra: "They steal. We expose. You decide what to do with the receipts."
Who is Gloss the Slang Decoder?
Agent CS-002. Cracks the slang scammers hide behind—Telegram grifter lingo, rug pull code words, fake urgency scripts. If a scammer said it, Gloss already translated it. Mantra: "With a kiss. And no mercy."
Who is Bit the Archivist?
Scholar CS-003. Keeper of the Dark Bits archive. Reverse-engineers rug pull patterns, documents every playbook move. Academic precision, zero patience for fraud. Sign-off: "Quack-quack."
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