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DyorSwap: The previously identified "GIWA Mainnet" is actually a fake chain built by scammers, and compensation for affected users will be provided through treasury funds

DyorSwap officially announced that the so-called "GIWA Mainnet" identified by the team earlier is actually a fake chain set up by scammers. This fake network used the correct GIWA chain ID (9134), making it appear legitimate during the initial verification phase. The team also identified several suspicious messages and individuals within the related community that may be connected to this incident. The announcement stated that significant losses have occurred due to this fraudulent cross-chain bridge.DyorSwap stated that it is taking three immediate actions: first, contacting a professional security team to conduct further on-chain tracking and investigate the involved addresses, transactions, and fund flows; second, preserving all relevant evidence, including chat records, RPC information, cross-chain bridge addresses, and on-chain transactions; third, preparing to use treasury funds to compensate affected users, with eligibility criteria, loss verification processes, compensation scope, and detailed plans to be announced after the investigation and verification processes are completed.DyorSwap emphasized that until further notice, users should not use any unofficial GIWA mainnet RPCs, cross-chain bridges, or contracts, and should not send funds to any related addresses. The official team deeply apologizes to every affected user in this incident and states that subsequent updates will be released as soon as possible.

DyorSwap: The previously identified "GIWA Mainnet" is actually a fake chain built by scammers, and compensation for affected users will be provided through national treasury funds

DyorSwap officially announced that the so-called "GIWA mainnet" previously identified by the team is actually a fake chain set up by scammers. This fake network used the correct GIWA chain ID (9134), making it appear legitimate during the initial verification phase. The team also identified several suspicious messages and individuals within the related community that may be connected to this incident. The announcement stated that significant losses have occurred due to this fraudulent cross-chain bridge.DyorSwap stated that it is taking three immediate actions: first, contacting a professional security team to conduct further on-chain tracking and investigate the involved addresses, transactions, and fund flows; second, preserving all relevant evidence, including chat records, RPC information, cross-chain bridge addresses, and on-chain transactions; third, preparing to use treasury funds to compensate affected users, with eligibility criteria, loss verification processes, compensation scope, and detailed plans to be announced after the investigation and verification processes are completed.DyorSwap emphasized that until further notice, users should not use any unofficial GIWA mainnet RPCs, cross-chain bridges, or contracts, and should not send funds to any related addresses. The official team deeply apologizes to every affected user in this incident and states that subsequent updates will be released as soon as possible.

first_img Fake AI trading robot tutorial deceives 224 victims into deploying malicious contracts

On September 14, blockchain intelligence company TRM Labs released a report revealing that fake YouTube tutorials lured 224 victims into deploying and funding malicious smart contracts under the guise of building AI-based crypto arbitrage bots, resulting in the theft of 274.6 ETH. TRM identified a total of 234 contracts deployed by the victims, with funds ultimately flowing into six collection addresses controlled by the operators. The stolen ETH was worth approximately $517,000 at the time of the transfer, with a median loss of 1 ETH per incident.Unlike common wallet theft attacks, this scam did not involve phishing links, spoofed domains, or malicious authorization prompts. Victims chose the tutorials themselves, copied the code, deployed the contracts, and funded them from their own wallets, with each step authorized by the victims themselves. As a result, wallet security warnings and phishing blacklists could not be triggered. TRM discovered nine nearly identical YouTube tutorials disguised as different creators, using AI-generated virtual hosts and voiceovers, promising to build fully automated crypto trading bots with Claude, and guiding victims to a compiler website controlled by the operators, some of which mimicked the commonly used Remix development environment.In one variant analyzed by TRM, a backend script would discard the source code pasted by the victims and retrieve another contract from the operator's server, with the clean code displayed on the screen never being on-chain. The replaced contract accepted deposits and transferred any balance over 0.05 ETH to the operators when the victims pressed Start or Withdraw, with no arbitrage logic or AI functionality included in the contract.
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