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

  • 3595

    Incidents Tracked

  • 141

    Chains Affected

  • 65

    $100M+ Incidents

Top 10 Biggest Hacks

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  1. 🥈

    Mantra

    $5.50B

  2. #4

    LuBian

    $3.50B

    bitcoin

  3. #7

    Thodex

    $2.00B

  4. #9

    Finiko

    $1.50B

  5. #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 1951-2000 of 3595 ranked incidents

Largest Web3 incidents by USD amount lost
Rank Project Amount Lost Date Chain Technique Attack Guide Source
1951 AkiInuToken $34K - Rugpull — View →
1952 Yearnspace $34K ethereum Rugpull — View →
1953 Loop X Network $34K - Rugpull — —
1954 MinterPro $34K binance Rugpull — View →
1955 fren $34K - Rugpull — —
1956 MFT $34K bsc Unknown — —
1957 Kickboxer Tate $33K - Rugpull — View →
1958 SpaceID $33K - Rugpull — View →
1959 Zodiac Credit $33K - Rugpull — View →
1960 Sharwa.Finance $33K arbitrum Spot Price Manipulation Oracle Manipulation & Price Manipulation —
1961 KHABY Fan Token $33K - Rugpull — View →
1962 Moonco.in $33K - Rugpull — View →
1963 GPU $32K bsc Arithmetic Error — —
1964 MTI Finance $32K ethereum Rugpull — View →
1965 APEMAGA $32K ethereum Unknown — —
1966 FlyghtLite $32K - Rugpull — View →
1967 AutoTrade Finance $32K ethereum Honeypot — View →
1968 Nemo Finance $32K ethereum Honeypot — View →
1969 AK1111 $32K bsc Improper Access Control Access Control Attacks —
1970 My Farm Pet $31K - Flash Loan Attack Flash Loan Attacks View →
1971 3913 token $31K - Flash Loan Attack Flash Loan Attacks View →
1972 Reaper Finance $31K ethereum Rugpull — View →
1973 n00dleswap $31K ethereum Reentrancy Reentrancy View →
1974 Apollo Swap $31K ethereum Honeypot — View →
1975 dYdX V3 $31K ethereum DNS Hijack — —
1976 BTC20Token $30K - Flash Loan Attack Flash Loan Attacks View →
1977 NONAME $30K ethereum Rugpull — —
1978 WOLF Protocol $30K ethereum Rugpull — View →
1979 HermesVault $30K algorand Other / Withdrawal Logic Flaw — View →
1980 BONK Fun $30K solana DNS Hijack — —
1981 Omnipus $30K ethereum Missing Input Validation — —
1982 QuillDex $30K - Rugpull — View →
1983 APPLE $30K - Rugpull — View →
1984 Revert Finance $30K ethereum Abandoned / Arbitrary External Call Access Control Attacks View →
1985 DOXED $30K - Rugpull — View →
1986 Wiener DOGE $30K bsc Rounding Error — —
1987 Doodled Dragons $30K - Rugpull — View →
1988 Atomic Green $30K arbitrum Signature Replay — View →
1989 Unidark $30K ethereum Rugpull — View →
1990 DiceSwap $30K binance Rugpull — View →
1991 wDAO EON $29K - Flash Loan Attack Flash Loan Attacks View →
1992 RETAWATCH $29K - Rugpull — View →
1993 Vista Finance $29K bsc Flash Loan Attack / Incorrect Share Accounting Flash Loan Attacks View →
1994 YYS $29K - Flash Loan Attack Flash Loan Attacks View →
1995 FPR $29K bsc Improper Access Control Access Control Attacks —
1996 Yzer Token $29K - Rugpull — View →
1997 Dragonswap $29K binance Rugpull — View →
1998 ASKACR Token $29K - Flash Loan Attack Flash Loan Attacks View →
1999 ProjectX $28K - Rugpull — View →
2000 Float Protocol $28K ethereum Spot Price Manipulation Oracle Manipulation & Price Manipulation —

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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