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goplus

GoPlus is a company focused on blockchain security, providing comprehensive security solutions and tools to help users identify and mitigate potential risks in cryptocurrency transactions. Its services include smart contract auditing, risk monitoring, and security consulting, aimed at enhancing the overall security of the blockchain ecosystem. GoPlus's technology covers multiple blockchain platforms, offering reliable security assurance for developers and users.
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GoPlus: Robinhood Chain exposes the Meme coin RUG factory again, with a flow exceeding 9 million USD

The GoPlus security team disclosed that a high-risk fraudulent Meme factory was recently discovered on the Robinhood Chain, with a transaction volume exceeding 9 million dollars in the past 30 days, involving hundreds of fraudulent Memes. The asset aggregation address is 0x8c3Bad30cc7563A2D0357F49509FFd063666bb00. As of September 28, 2026, the address balance is approximately 56.0635 ETH, equivalent to about 148,000 dollars; the address has a total of about 1,385 transactions, with the latest 400 transactions generating approximately 1,728.02 ETH in income and transferring out approximately 1,861.12 ETH; the two-way transaction volume is about 3,589.14 ETH, equivalent to about 9.49 million dollars.Direct evidence of "authorizing or selling tokens ---> liquidating ETH ---> transferring to the same aggregation address" was found in the high-risk associated Memes. The amount is the gross amount transferred into the aggregation system from the same project batch and does not represent net profit. The fraudulent Meme factory model mainly includes "new accounts shipping out ---> layered aggregation ---> fund recycling: 1. Creating Tokens based on industry hotspots; 2. Allocating Tokens to a large number of new EOAs with only 4 to 11 transactions; 3. Selling in segments through PonsV2Helper / UniversalRouter; 4. Emptying ETH to local aggregators or the main aggregation address (0x8c3bad); 5. Providing funds for the next round of projects, new wallets, and trading operations. The key to this fraud model is: 1. Using a large number of new wallets to hide the actual concentration of chips; 2. Segmentally selling by these wallets to create the illusion of multiple independent traders; 3. After the shipment is completed, funds flow into the same aggregation system; 4. Reinvesting the profits from old projects into the next round.On-chain researcher Wazz recently disclosed that a suspected continuous Rug gang initiated at least 53 Robinhood Chain Memes within about two months and extracted approximately 18.43 million dollars from them. Their main tactic is to control most of the token supply using 70 to 200 wallets, then reinvest the profits from the previous round into the next round. This case is similar to the fraudulent model in this case, but there is currently no evidence to indicate that it is the same gang.

GoPlus DeepScan has been fully upgraded, launching an AI intelligent contract security full lifecycle protection system

According to official news, GoPlus announced a comprehensive upgrade of DeepScan, launching an AI-based smart contract security solution. GoPlus stated that as hackers begin to leverage AI to dig deeper into contract vulnerabilities, the traditional "one-time audit, go live and it's done" security model is struggling to cope with the continuously evolving attack risks.DeepScan constructs a complete security closed loop around the entire lifecycle of smart contracts, consisting of AI contract auditing, continuous security monitoring, and Token security self-checks, providing ongoing security assurance for developers, project parties, and trading platforms. Among them, AI contract auditing can analyze contract source code, permission management, and business logic based on AI deep analysis, identifying security risks such as syntax vulnerabilities and business logic vulnerabilities, and outputting a structured audit report that includes security scores, key findings, problem details, and remediation suggestions. Continuous security monitoring targets contracts that are already live and have completed audits, tracking newly disclosed vulnerabilities, on-chain attack events, and changes in external dependencies such as oracles and cross-chain bridges in real-time, and using AI to determine whether the project is affected, conducting timely reviews and alerts. Token security self-checks are aimed at projects that are about to be launched or applying for listing, quickly detecting risks such as P2P pools/honeypots, malicious issuance permissions, blacklist mechanisms, abnormal transaction taxes, Owner permissions, and transaction restrictions.In addition, the GoPlus DeepScan team also released an open-source Benchmark dataset built on real smart contract attack events, used to assess AI's actual capabilities in vulnerability identification, attack path understanding, contextual reasoning, and audit stability. Currently, it has included nearly a hundred typical attack events since May 2025 and continues to be updated. GoPlus stated that DeepScan can be used for low-cost security scanning by developers, security reviews before project launches, and continuous monitoring during operations, while also serving as a supplement to security assessments before listing on trading platforms, helping all parties to more promptly identify new vulnerabilities and attack risks.
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