karm77529-code/real-world-defi-exploits

GitHub: karm77529-code/real-world-defi-exploits

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# 🕵️ DeFi Exploit Case Studies This repository breaks down real-world DeFi exploits to understand **how and why protocols fail**. The focus is on: - Attack patterns - Root causes - Design weaknesses - Lessons learned # 💣 1. The DAO Exploit (Ethereum) ## 📌 What happened One of the earliest major DeFi exploits. ## 🔍 Root cause Reentrancy vulnerability: - Contract sent funds before updating state - Attacker repeatedly called withdraw function ## 💥 Impact ~$60M drained (at the time) ## 🧠 Lesson # 🌉 2. Wormhole Bridge Exploit ## 📌 What happened Attacker minted wrapped assets without backing collateral. ## 🔍 Root cause Signature verification failure in cross-chain message validation. ## 💥 Impact ~$320M loss ## 🧠 Lesson # 📡 3. Mango Markets Exploit ## 📌 What happened Attacker manipulated collateral price to borrow massive funds. ## 🔍 Root cause Weak oracle dependency + economic design flaw. ## 💥 Impact ~$100M+ ## 🧠 Lesson # 🌐 4. Poly Network Exploit ## 📌 What happened Cross-chain assets were redirected to attacker addresses. ## 🔍 Root cause Logic flaw in message verification between chains. ## 💥 Impact ~$600M (most returned later) ## 🧠 Lesson # ⚙️ 5. bZx Flash Loan Attacks ## 📌 What happened Multiple exploits using flash loans to manipulate markets. ## 🔍 Root cause Weak price assumptions + oracle dependency. ## 💥 Impact Millions in losses across incidents ## 🧠 Lesson # 🔐 6. Cream Finance Exploit ## 📌 What happened Reentrancy-style exploit drained funds. ## 🔍 Root cause Improper handling of external calls and state updates. ## 💥 Impact ~$130M+ ## 🧠 Lesson # 📌 Common Patterns Across All Exploits - Weak oracles - Poor state management - Overtrusted external data - Centralized control points - Missing edge-case handling # 🧠 Final Insight Most DeFi exploits are not “smart hacker magic”. They are predictable failures in system design. # ⚠️ Disclaimer This repository is for educational purposes only. It does not include exploit code or instructions for malicious activity. # 🚀 Goal To build stronger security thinking and understand how real protocols fail in practice.