Web3 Hacks & DeFi Exploit Intelligence

Security trends
  • $91B+Lost
  • 3597Incidents
  • 141Chains
  • 19Classes
# Project Date Amount Lost Chain Technique Links
1711 FileSystemVideo $304K — Rugpull
1712 Hundred Finance $3.3M — Other
1713 Meter.io $4.4M ethereum Deposit Function Exploit / Missing Input Validation
1714 TECRA $643K — Other
1715 DePo $1.7M — Access Control
1716 KlaySwap $1.9M klaytn Frontend Compromise
1717 Wormhole $326M solana Signature Exploit / Signature Verification Flaw
1718 BitBNS $7.5M — Private Key Compromised (Unknown Method) / Key Leaked via Infrastructure
1719 DataDAO Finance $782K — Rugpull
1720 CryptoBatz $90K — Other
1721 Qubit Finance $80.0M bsc Transfer Logic Exploit / Missing Input Validation
1722 Mercenary $760K — Rugpull
1723 OpenSea $1.0M ethereum Withdrawal Logic Flaw
1724 Solfire $4.1M — Rugpull
1725 Rich Dwarves Tribe $3.0M — Abandoned
1726 Crosswise $879K bsc Improper Access Control
1727 Multichain $2.7M ethereum Missing Input Validation
1728 Crypto.com $34.4M bitcoin, ethereum Private Key Compromised (Unknown Method) / Access Control / Session Key Compromised
1729 BNB HEROES $561K — Rugpull
1730 Cryptoburgers $770K bsc Flash Loan Attack / Improper Access Control
1731 Float Protocol $1.4M ethereum Oracle Issue / Spot Price Manipulation
1732 IDO rug pulls $2.7M — Rugpull
1733 Big Daddy Ape Club $1.2M — Rugpull
1734 CityDAO $95K ethereum Access Control / Phishing
1735 Lympo $18.7M ethereum Access Control / Hot Wallet Key Compromised
1736 Frosties $1.3M — Abandoned
1737 LCX $7.9M ethereum Hot-wallet compromise; initial access unknown
1738 Metaland DAO $287K — Rugpull
1739 Stobox Exchange $166K — Access Control
1740 Doodled Dragons $30K — Rugpull

Data sourced from DefiLlama & SunWeb3Sec/DeFiHackLabs . Thank you for keeping Web3 security data open.

Understanding Smart Contract Vulnerabilities

Explore the technical causes behind reentrancy, flash loan attacks, and oracle manipulation in our attack guides.

Learn how these hacks actually worked

Study the exploit patterns behind the incidents in this database, then practice finding them before attackers do.