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

Jump to full leaderboard
  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 2551-2600 of 3597 ranked incidents

Largest Web3 incidents by USD amount lost
Rank Project Amount Lost Date Chain Technique Attack Guide Source
2551 Kingdomswap — binance Rugpull — View →
2552 Pablo Escobar — binance Rugpull — View →
2553 BoobsDefi — binance Rugpull — View →
2554 Tripland — binance Rugpull — View →
2555 Demeter Chain — ethereum Rugpull — View →
2556 SageSwap Token — binance Rugpull — View →
2557 Rick.finance — binance Rugpull — View →
2558 Delicacydefi — binance Rugpull — View →
2559 Pirate Farm — - Rugpull — View →
2560 Red Rose Finance — - Rugpull — View →
2561 YFARM — - Rugpull — View →
2562 0xNinja — - Rugpull — View →
2563 Happy Frog Finance — - Rugpull — View →
2564 Rimau Finance — - Rugpull — View →
2565 PolyMind — - Rugpull — View →
2566 Yoshi Defi — - Rugpull — View →
2567 VIVAToken — - Rugpull — View →
2568 BeaverSwap.finance — - Rugpull — View →
2569 Photon-Swap — - Rugpull — View →
2570 Planetswap Uranus — - Rugpull — View →
2571 Corgi Finance — - Rugpull — View →
2572 ELON INU — binance Honeypot — View →
2573 XSPACE — binance Honeypot — View →
2574 AnimalHouse Finance — binance Honeypot — View →
2575 Pera Finance — binance Honeypot — View →
2576 Free Britney — binance Honeypot — View →
2577 TRUMP 2024 — binance Honeypot — View →
2578 BLESS AMERICA — binance Honeypot — —
2579 MoonPilot — binance Honeypot — View →
2580 BabyElonDoo — binance Honeypot — —
2581 King Of The North Coin — binance Honeypot — View →
2582 Baby Doge Moon — binance Honeypot — View →
2583 Cresco — binance Honeypot — View →
2584 FLOKI DOWN — binance Honeypot — View →
2585 DogeBoo — binance Honeypot — View →
2586 KoalaRise — binance Honeypot — View →
2587 CFInu — binance Honeypot — View →
2588 Trace Network — binance Honeypot — View →
2589 SafeDoge — binance Honeypot — View →
2590 DogeTeen — binance Honeypot — View →
2591 Coronal Mass Ejection — binance Honeypot — View →
2592 Wolfy — binance Honeypot — View →
2593 Scaleswap — ethereum Honeypot — View →
2594 lightningshib.com — ethereum Honeypot — View →
2595 SafeSolarStar — binance Honeypot — View →
2596 EverTiki — binance Honeypot — View →
2597 Efinity Token — ethereum Honeypot — View →
2598 Baby Doge Coin — ethereum Honeypot — View →
2599 Whackd — ethereum Honeypot — View →
2600 Olympus — 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

$91B+ lost to preventable vulnerabilities. Master real exploit patterns and defense techniques with hands-on Web3 security training.

Start Free Trial → View Full Course