> For the complete documentation index, see [llms.txt](https://ozarus.gitbook.io/ozarus-anglais/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ozarus.gitbook.io/ozarus-anglais/getting-started/publish-your-docs.md).
# The Problem: Web3's Security Crisis
The decentralized finance ecosystem has exploded with innovation — but also with risk. Every day,
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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
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groups full of misinformation. Even advanced users must dig through obscure contract properties to
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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What’s worse: many tools that offer token scanning are paywalled, slow, outdated, or technically
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inaccessible to the average user.
This is where Ozarus steps in — to automate, simplify, and empower. 🚀
The rapid growth of DeFi, NFTs, and onchain assets has created a fertile ground for scams and rug
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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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