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Terra Classic
$40.00B
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.
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$91B+
Total Value Lost
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3597
Incidents Tracked
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141
Chains Affected
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65
$100M+ Incidents
Top 10 Biggest Hacks
Where the Largest Losses Concentrate
Top Chains by Losses
Top Techniques by Losses
Full Leaderboard
Showing 2301-2350 of 3597 ranked incidents
| Rank | Project | Amount Lost | Date | Chain | Technique | Attack Guide | Source |
|---|---|---|---|---|---|---|---|
| 2301 | Umami finance | — | - | Other | — | View → | |
| 2302 | Spark | — | ethereum | Honeypot | — | View → | |
| 2303 | 3Commas | — | multi chain | Exchange API credential exposure | — | View → | |
| 2304 | Golden Moon | — | binance | Honeypot | — | View → | |
| 2305 | Gemini | — | - | Phishing | Phishing Attacks | View → | |
| 2306 | TIFIToken | — | bsc | Spot Price Manipulation | Oracle Manipulation & Price Manipulation | — | |
| 2307 | Lodestar V0 | — | arbitrum | Flashloan Price Oracle Attack / Spot Price Manipulation / Flash Loan Attack | Flash Loan Attacks | View → | |
| 2308 | NOVAToken | — | bsc | Admin Drain | — | — | |
| 2309 | BBOX | — | bsc | Spot Price Manipulation | Oracle Manipulation & Price Manipulation | — | |
| 2310 | RFB | — | bsc | Missing Input Validation | — | — | |
| 2311 | Ratio Finance | — | solana | Private Key Compromised (Unknown Method) / Key Brute Forced | Access Control Attacks | View → | |
| 2312 | Overnight Finance | — | avalanche | Unknown | — | — | |
| 2313 | Fairmoon | — | binance | Honeypot | — | View → | |
| 2314 | GeoDB | — | - | Other | — | View → | |
| 2315 | Bad Guys by RPF | — | ethereum | Incorrect Share Accounting | — | — | |
| 2316 | Acala | — | acala | Infinite Mint | — | View → | |
| 2317 | Impermax | — | ethereum, polygon | Other / Private Key Compromised | Access Control Attacks | View → | |
| 2318 | Vauld | — | - | Other | — | View → | |
| 2319 | GoldenEsse | — | binance | Honeypot | — | View → | |
| 2320 | Transaction Control Protocol | — | ethereum | Honeypot | — | View → | |
| 2321 | Drift Trade | — | solana | Profit withdrawal accounting failure | — | View → | |
| 2322 | Ebuy Finance | — | binance | Honeypot | — | View → | |
| 2323 | TreasureDAO | — | - | Other | — | View → | |
| 2324 | StaticFire | — | binance | Honeypot | — | View → | |
| 2325 | Internet Computer | — | binance | Honeypot | — | View → | |
| 2326 | Gelato | — | - | Other | — | View → | |
| 2327 | ScareCrow | — | - | Abandoned | — | View → | |
| 2328 | Coinsuper | — | - | Other | — | View → | |
| 2329 | SkyDog | — | binance | Honeypot | — | View → | |
| 2330 | ShibaElonMars | — | binance | Honeypot | — | View → | |
| 2331 | UNIYSWAP | — | - | Rugpull | — | View → | |
| 2332 | Mystery | — | - | Rugpull | — | View → | |
| 2333 | FlokiFarmToken | — | - | Rugpull | — | View → | |
| 2334 | OliveOptions | — | binance | Honeypot | — | View → | |
| 2335 | Daughter Doge Revenge Token | — | - | Rugpull | — | View → | |
| 2336 | AwakenedToken | — | - | Rugpull | — | View → | |
| 2337 | LionKingToken | — | - | Rugpull | — | View → | |
| 2338 | SaturnBeam | — | - | Rugpull | — | View → | |
| 2339 | Polyrock Finance | — | - | Rugpull | — | View → | |
| 2340 | PolyRainbowToken | — | - | Rugpull | — | View → | |
| 2341 | Symmetry.Markets | — | - | Rugpull | — | View → | |
| 2342 | PolarBearToken | — | - | Rugpull | — | View → | |
| 2343 | Safari.Yield Finance | — | binance | Honeypot | — | View → | |
| 2344 | xMINT BSC | — | binance | Honeypot | — | View → | |
| 2345 | MEMEKiller | — | binance | Honeypot | — | View → | |
| 2346 | Boon Tech | — | ethereum | Rugpull | — | View → | |
| 2347 | OpportyToken | — | ethereum | Rugpull | — | View → | |
| 2348 | RGL | — | ethereum | Rugpull | — | View → | |
| 2349 | BlockChain of Things | — | ethereum | Rugpull | — | View → | |
| 2350 | ACO | — | ethereum | 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.
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