Odaily星球日报讯 DappRadar 报告显示，2025 年 Web3 生态系统中的 rug pull 事件数量较 2024 年减少 66%，但损失金额却达到近 60 亿美元。Mantra 的 OM 代币崩盘占了 92%的损失，尽管项目方否认为 rug pull。分析师 Sara Gherghelas 表示，骗局变得更复杂，memecoin 成为主要目标。Libertad 的 Solana 代币 LIBRA 在阿根廷总统发文后暴涨，删除帖子后暴跌 94%。Gherghelas 还警告称，异常活跃钱包、匿名团队等为风险信号。（Cointelegraph）

Odaily星球日报讯 DappRadar 报告显示，2025 年 Web3 生态系统中的 rug pull 事件数量较 2024 年减少 66%，但损失金额却达到近 60 亿美元。Mantra 的 OM 代币崩盘占了 92%的损失，尽管项目方否认为 rug pull。分析师 Sara Gherghelas 表示，骗局变得更复杂，memecoin 成为主要目标。Libertad 的 Solana 代币 LIBRA 在阿根廷总统发文后暴涨，删除帖子后暴跌 94%。Gherghelas 还警告称，异常活跃钱包、匿名团队等为风险信号。（Cointelegraph）

分析：加密货币rug pull事件放缓，但破坏性更强

<Odaily> report shows that according to DappRadar, the number of Rug Pull events in the Web3 ecosystem in 2025 decreased by 66% compared to 2024, but the loss amount reached nearly $6 billion. The OM token crash of Mantra accounted for 92% of the losses, although the project denied it was a Rug Pull. Analyst Sara Gherghelas stated that scams are becoming more complex, with meme coins becoming the main target. The Solana token LIBRA of Libertad surged after the Argentine president's post and then plummeted 94% after the post was deleted. Gherghelas also warned that abnormally active wallets and anonymous teams are risk signals. (Cointelegraph)

<Odaily> Odaily Planet Daily News: DappRadar reports that the number of Rug Pull events in the Web3 ecosystem in 2025 decreased by 66% compared to 2024, but the loss amount reached nearly $6 billion. The collapse of Mantra's OM token accounted for 92% of the losses, despite the project team denying it was a Rug Pull. Analyst Sara Gherghelas stated that scams are becoming more complex, with meme coins becoming the primary target. The Solana token LIBRA from Libertad surged after the Argentine president's post and then plummeted 94% after the post was deleted. Gherghelas also warned that abnormally active wallets and anonymous teams are risk signals. (Cointelegraph)

Analysis: Cryptocurrency rug pull events slow down, but more destructive

Original Odaily(@OdailyChina)
Author/ Wenser (@wenser2010)
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