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.