Crypto Threat Education
Educational insights about the most dangerous crypto scams targeting investors worldwide. Our informational analysis helps you understand patterns in rug pulls, honeypots, and fraudulent tokens.
Educational Information Only
GuardScan provides informational analysis of crypto patterns based on publicly available blockchain data. All content is for educational purposes and should not be considered as investment advice or guarantees. Always conduct your own research.
The 2025 Crypto Threat Landscape
Educational analysis of cryptocurrency scams that have evolved dramatically in 2025, with over $15 billion lost globally. Understanding these patterns is crucial for making informed investment decisions.

Rug Pulls
CRITICALEducational analysis of patterns where developers suddenly withdraw liquidity and disappear
Whoever controls the pool tokens can withdraw them in a single transaction, which is a permission, not a bug

Honeypot Scams
CRITICALInformational analysis of tokens that allow buying but prevent selling, trapping investor funds
Learn from examples like Squid Game token and PoodleCoin that locked investors out of funds

Hidden Minting & Backdoors
CRITICALEducational insights about hidden minting functions and developer backdoors that bypass token economics
Understand complex tax and transfer functions used to siphon ETH from investors

AI-Driven Deepfake Scams
HIGHResearch on AI-generated deepfake videos impersonating trusted figures for cryptocurrency fraud
Study sophisticated AI-generated content targeting social media users and crypto enthusiasts

Trading Restrictions & Blacklists
HIGHAnalysis of scams that impose trading restrictions, blacklisting wallets to prevent victims from selling tokens
Research wallet blacklisting and pause functions that trap investments by restricting transfers
Questions to Ask Before Trusting a Token
Use public data to confirm whether the story matches the contract and market reality
Ready to Research Your Crypto Investments?
Use the guide archive to learn which public checks matter before you trust a token claim.
Start with the public evidence:
guardscan.io
Read the guide, verify the source, then decide what the claim is worth