# The Problem: Web3's Security Crisis

The decentralized finance ecosystem has exploded with innovation — but also with risk. Every day, thousands of new tokens flood networks like Solana and Ethereum. Among these, only a tiny fraction have real utility or honest intent.

Most users are left to analyze smart contracts manually 🧾, rely on Twitter threads, or enter Telegram groups full of misinformation. Even advanced users must dig through obscure contract properties to detect threats like stealth taxes, honeypots, or minting loopholes.

In many cases, users discover the truth only *after* they’ve lost funds 💸.

What’s worse: many tools that offer token scanning are paywalled, slow, outdated, or technically inaccessible to the average user.

This is where Ozarus steps in — to automate, simplify, and empower. 🚀

<figure><img src="https://ozarus.gitbook.io/ozarus-anglais/~gitbook/image?url=https%3A%2F%2F2145166822-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252Fezvr3xpf6PiXtQHgFhUQ%252Fuploads%252FnWbF5jSCRwtPF4p9obZm%252FChatGPT%2520Image%252013%2520mai%25202025_%252019_02_15.png%3Falt%3Dmedia%26token%3D9f6b7ba6-0b7e-4d2b-b806-3ccc0c39b5dd&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=d5a1a2eb&#x26;sv=2" alt=""><figcaption></figcaption></figure>

The rapid growth of DeFi, NFTs, and onchain assets has created a fertile ground for scams and rug pulls. Key challenges include:

1. **Complex or inaccessible tools:** Analysis platforms are often paid or too technical.
2. **Late threat detection:** Risks are often identified after funds are lost.
3. **Lack of standardized risk scoring:** Evaluating a token remains subjective.
4. **Fragmented information:** Data is scattered across various explorers and channels.


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