{"id":551809,"date":"2026-08-03T18:35:44","date_gmt":"2026-08-03T17:35:44","guid":{"rendered":"https:\/\/cryptoslate.com\/?p=551809"},"modified":"2026-08-03T21:31:34","modified_gmt":"2026-08-03T20:31:34","slug":"researchers-just-uncovered-4200-malicious-smart-contracts-that-successfully-tricked-5700-victims-into-signing-away-their-crypto","status":"publish","type":"post","link":"https:\/\/cryptoslate.com\/researchers-just-uncovered-4200-malicious-smart-contracts-that-successfully-tricked-5700-victims-into-signing-away-their-crypto\/","title":{"rendered":"How 4,200 malicious smart contracts tricked 5,700 victims into signing away their crypto"},"content":{"rendered":"

Malicious smart contracts can make safety tools inside crypto wallets show a small gain even when the final transaction sends the user's deposit to an attacker, according to a July 30 arXiv preprint that links the technique to 5,742 victim addresses and about $3.48 million in historical losses.<\/p>\n

The authors<\/a> used SimGuard, a contract-bytecode detector, to identify 4,224 transaction-simulation phishing contracts across Ethereum, BNB Smart Chain, Avalanche and Polygon.<\/p>\n

The study associated them with 6,223 victim transactions but called the loss estimate an upper bound because some attacker test activity may have been misclassified. It attributed 91.5% of the losses to Ethereum and about 83% of the cross-chain total to its largest inferred cluster.<\/p>\n\n

\n \n
\n Related Reading<\/span>\n

$538M stolen by drainers: ETH & SOL wallets unite with real-time phishing blocks<\/h3>\n <\/div>\n \n <\/i>\n <\/span>\n <\/a>\n<\/div>\n\n

The findings have not been peer reviewed. The paper also gives inconsistent figures for its Avalanche contract count and conflicting endpoints for the observation period, leaving its per-chain breakdown and exact time window unresolved.<\/p>\n

How malicious smart contracts fool wallet previews<\/h2>\n

Transaction simulation takes a pre-signing snapshot of what a transaction is expected to do. The contracts described in the paper contain branches that can produce one result during that check and another when the transaction executes on-chain.<\/p>\n

\"Infographic<\/a><\/p>\n

In a storage-control example, the simulation returns the user's deposit plus a tiny reward. An attacker can then change the contract's state, such as by blacklisting the user's address, before the transaction lands. The executed branch sends the deposit to an attacker-controlled address instead.<\/p>\n

Timestamp-based contracts can exploit the later block time, while gas-control contracts can behave differently when the simulator and final transaction use different gas limits. Not every variant therefore requires an attacker to alter stored on-chain data after the preview.<\/p>\n

In a controlled test, the authors sent an account's balance to a contract that returned as little as 1 wei, the smallest unit of ETH. They reported that several tested previews displayed a positive estimate and most did not clearly show the full outgoing amount.<\/p>\n

The paper does not identify the wallet versions, settings, or simulation backends used by victims of these malicious smart contracts. MetaMask's current documentation<\/a> calls estimated balance changes predictions and warns that the final outcome is not guaranteed.<\/p>\n\n

\n \n
\n Related Reading<\/span>\n

MetaMask opens AI wallet for DeFi agents as security risks shift to user rules<\/h3>\n <\/div>\n \n <\/i>\n <\/span>\n <\/a>\n<\/div>\n\n

A Jan. 8, 2025 Etherscan transaction<\/a> cited by the study records a Claim() call moving about 143.45 ETH through a contract Etherscan labels as phishing<\/a>. The on-chain record supports the transfer described in the paper, although it cannot show what appeared in the user's wallet preview.<\/p>\n

The authors recommend re-running simulations when relevant contract state or gas fields change, using the gas limit and gas price in the actual request, and testing current and future block-number and timestamp inputs. Their UI findings also support showing the gross amount leaving a wallet alongside an accurate net balance change, so a negligible refund cannot be mistaken for a profit.<\/p>\n\n

\n \n
\n Related Reading<\/span>\n

Hundreds of MetaMask wallets drained: What to check before you ‘update'<\/h3>\n <\/div>\n \n <\/i>\n <\/span>\n <\/a>\n<\/div>\n\n

The preprint describes historical activity involving these malicious smart contracts, not a live July or August attack wave. Its detector evaluation covered 44 contracts, including 30 generated with Gemini, and the linked code-and-data repository<\/a> returned HTTP 401 when checked.<\/p>\n

The aggregate results therefore remain the authors' findings rather than an independently reproduced measurement.<\/p>\n","protected":false},"excerpt":{"rendered":"

The unpeer-reviewed study links 4,224 contracts to 5,742 victim addresses, while its Avalanche count and collection cutoff conflict.<\/p>\n","protected":false},"author":1264,"featured_media":551932,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[77968,77921,9836,60206],"tags":[76230,77540,72190,77461,78358],"post_folder":[],"acf":[],"yoast_head":"\nMalicious smart contracts tricked 5,742 crypto victims<\/title>\n<meta name=\"description\" content=\"A preprint links 4,224 malicious smart contracts using transaction simulation phishing to 5,742 victims and up to $3.48 million in losses.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cryptoslate.com\/researchers-just-uncovered-4200-malicious-smart-contracts-that-successfully-tricked-5700-victims-into-signing-away-their-crypto\/\" 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