Most Expensive Crypto Hacks Leaderboard

The biggest Web3 and DeFi exploits ranked by amount lost. Track high-impact incidents, study attack patterns, and learn how security failures scale into multi-million dollar losses.

  • $91B+

    Total Value Lost

  • 3597

    Incidents Tracked

  • 141

    Chains Affected

  • 65

    $100M+ Incidents

Top 10 Biggest Hacks

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  2. 🥈

    Mantra

    $5.50B

  4. #4

    LuBian

    $3.50B

    bitcoin

  7. #7

    Thodex

    $2.00B

  9. #9

    Finiko

    $1.50B

  10. #10

    Bybit

    $1.40B

    ethereum

Where the Largest Losses Concentrate

Top Chains by Losses

  • ethereum $9,830M
  • bitcoin $5,404M
  • bsc $3,037M
  • solana $1,697M
  • polygon $1,539M

Top Techniques by Losses

  • Other $52,517M
  • Rugpull $15,631M
  • Private Key Compromised (Brute Force) / Weak Key Generation $3,500M
  • Safe Multisig wallet Phishing Exploit / Access Control / Signer Phishing $1,635M
  • Access Control / Hot Wallet Key Compromised $1,027M

Full Leaderboard

Showing 2751-2800 of 3597 ranked incidents

Largest Web3 incidents by USD amount lost
Rank Project Amount Lost Date Chain Technique Attack Guide Source
2751 Virgin Elon — ethereum Honeypot — View →
2752 Jade Currency — binance Honeypot — View →
2753 Step Finance — binance Honeypot — View →
2754 GUCCI — binance Honeypot — View →
2755 PROJECT LION — binance Honeypot — View →
2756 Moony Farm — ethereum Honeypot — View →
2757 NFTLogy — binance Honeypot — View →
2758 NeptuneWallet — binance Honeypot — View →
2759 Wu-Tang Financial — ethereum Honeypot — View →
2760 Diamond Hands Inu — ethereum Honeypot — View →
2761 SaintElon — binance Honeypot — View →
2762 DogeMilf — binance Honeypot — View →
2763 TokenFox — binance Honeypot — View →
2764 DragonFinance10000x — binance Honeypot — View →
2765 KoinChurch — binance Honeypot — View →
2766 TogetherWeStand — binance Honeypot — View →
2767 Rabbit Finance — binance Honeypot — View →
2768 Real Madrid FC — ethereum Honeypot — View →
2769 SAFE SHIBA — binance Honeypot — View →
2770 Smaugs — binance Honeypot — View →
2771 Lucky Coin — binance Honeypot — View →
2772 Paralink Network — binance Honeypot — View →
2773 DIAMOND — binance Honeypot — View →
2774 GO — binance Honeypot — View →
2775 COFFEE MOON — binance Honeypot — View →
2776 BULLRUN — binance Honeypot — View →
2777 OnlyFans — binance Honeypot — View →
2778 Redbean Token — binance Honeypot — View →
2779 600X — binance Honeypot — View →
2780 HolyMoon — binance Honeypot — View →
2781 BSCstarter — binance Honeypot — View →
2782 WOO — binance Honeypot — View →
2783 CRYPTO MOON SHOTS — binance Honeypot — View →
2784 SpaceGoat — binance Honeypot — View →
2785 Rabbit Swap — binance Honeypot — View →
2786 Auditore — binance Honeypot — View →
2787 Mommy Milkers — ethereum Honeypot — View →
2788 BraveHeart TOKEN — binance Honeypot — View →
2789 Kimchi Inu — ethereum Honeypot — View →
2790 Kobe — binance Honeypot — View →
2791 ORANGE TOKEN — binance Honeypot — View →
2792 NFT ECO — binance Honeypot — View →
2793 LIGMA — ethereum Honeypot — View →
2794 RUSHMOON — binance Honeypot — View →
2795 FULLMOON — binance Honeypot — View →
2796 Kwikswap — ethereum Honeypot — View →
2797 NETVRK — ethereum Honeypot — View →
2798 BOMB Token — binance Honeypot — View →
2799 SAFEOXYGEN Token — binance Honeypot — View →
2800 LETHE Token — binance Honeypot — View →

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

Understanding the Pattern Behind Billion-Dollar Losses

The most expensive crypto hacks are not random. They cluster around repeating vulnerability patterns: access-control failures, flash-loan manipulation, oracle abuse, and unsafe external calls. Studying large-loss incidents helps security researchers prioritize high-impact threat models first.

For deeper context, explore the full Web3 Hacks Dashboard and our Smart Contract Attack Library for hands-on exploit and mitigation breakdowns.

Frequently Asked Questions

How is this leaderboard ranked?

Incidents are ranked by parsed USD amount lost in descending order. Records without parseable loss values are excluded from this ranking.

Does this include every attack type?

It includes all incidents with known loss values in the database. Use the full dashboard for broader filtering and lower-severity incidents.

How can I learn to prevent these exploits?

Study attack-class pages first, then practice in guided exercises inside the Smart Contract Hacking course.

Learn to Prevent High-Impact Smart Contract Hacks

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