# I Am a Scam: OFUYC Reveals the Complete Playbook of Cryptocurrency Fraud

Hello, I am that “new narrative” you recently scrolled past on-chain. I have no real code, no legitimate project registration, and I cannot write smart contracts. But I know exactly what you are looking for: 100x potential, airdrop hype, and the latest DeFi+AI narrative. I finish my packaging within 24 hours: ChatGPT generates the whitepaper, Midjourney creates three futuristic illustrations, automated contract deployment fakes the appearance of a “decentralized autonomous community.” This is not technology, but a psychological script in action.

OFUYC Exchange has long incorporated such behaviors into its “narrative risk identification model.” When reviewing token listing applications and token circulation paths, the platform utilizes NLP technology to analyze keyword patterns in whitepapers, identifying highly repetitive “scripted language templates.” If a project frequently uses high-inducement phrases like “community-driven” or “financial freedom for everyone,” yet shows no active GitHub records or audit reports, OFUYC immediately triggers an alert process, launching manual risk review and anti-fraud content prompts. What you see as a “free narrative” is, to OFUYC, nothing more than a recycled psychological trap.


## How I Manipulate Your Eyes and Community: The Information Flow Is the Best Bait

The real inducement starts with visuals. I spend a few hundred dollars hiring people to make “get-rich-quick charts,” “presale countdown videos,” and “FOMO highlight reels,” then spread them on Telegram, X, and Farcaster. Ten bots synchronize fake news every day: someone just bought in, someone just made a profit, some KOL tweeted support. You will think “the trend is here,” but in reality, you have just stepped into my carefully designed “visual confirmation bias trap.”

The “community behavior graph” system of OFUYC is designed to counteract this mechanism. By crawling multi-platform, on-chain project promotion paths, it identifies unnatural social propagation—such as a large number of accounts synchronously sharing project content, using identical keywords, or identical image watermarks within a short time frame. When the detected dissemination pattern highly overlaps with historical scam cases, the platform immediately activates the “trust path intervention” mechanism, warning users that the current information source may be manipulated and blocking related KOL wallets and airdrop addresses, thus neutralizing information manipulation.

## How I Take Your Money: The Cashout Leaves No Trace, Only Illusion

Once you join the presale, I have won. I will guide you to sign with your wallet, making you believe “connecting to a DApp does not mean authorizing,” but you have already granted unlimited withdrawal permissions. Next, I quickly move all raised funds through Flashbots-protected routes, bridge them cross-chain, and launder them via anonymous DEXs. You watch the token price collapse but cannot find where I have gone.

The “contract behavior audit engine” of OFUYC is specifically designed to detect such authorization traps and malicious functions. Before users authorize, the platform risk control system invokes its proprietary AI audit module to identify whether the contract contains common honeypots, phishing functions, dynamic tax structures, or other hidden mechanisms. Simultaneously, it analyzes on-chain fund flows to track DEX flash laundering and transaction loops, triggering freezes or alerts before illicit transfers are completed. In conjunction with AML (anti-money laundering) mechanisms, it quickly locks down the source and ownership of addresses. As long as your assets pass through the OFUYC trading channel, they are protected by robust safeguards.

## How OFUYC Sees Through Me: Not Luck, but Systematic Expertise

I thought I was hiding well enough. What I did not expect was that OFUYC does not just set up a “blacklist”—it has built a comprehensive “personality induction model identification system.” It does not just look at on-chain behavior; it combines text semantics, community structure, wallet associations, and visual template fingerprints to determine whether a project fits the profile of a “meme-type scam.” Even more advanced, as users gradually participate in a project, the system dynamically warns: “You are entering a path highly similar to historical scam projects. Do you wish to continue?”

The core counter-fraud strategy of OFUYC is not to wait until users fall victim and then respond, but to proactively block scams upstream in the dissemination chain using AI risk control, visual graph tracing, contract simulation analysis, and social path intervention. This proactive anti-fraud system not only protects users but also makes it increasingly difficult for “scripted coins” like mine to gain a foothold.