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項目簡介:
Obol 致力於分布式、去中心化和民主化未來的數字基礎設施——從以太坊開始,並擴展到整個 Web3 平台。作爲 Layer 1 區塊鏈和去中心化基礎設施網路的基礎,Obol Collective 擁有全球最大的去中心化運營商生態系統。目前,全球超過 800 個去中心化運營商運行 Obol 分布式驗證器 (DV),保障主網超過 10 億的資產安全,Obol 正在賦能下一代去中心化系統。
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$45 million stolen from Coinbase users in the last week — ZackXBT
Onchain sleuth and security analyst ZackXBT claims to have identified an additional $45 million in funds stolen from Coinbase users through social engineering scams in the past seven days alone.
According to the onchain detective, the $45 million figure represents the latest financial losses in a string of social engineering scams targeting Coinbase users, which ZackXBT said is a problem unique among crypto exchanges:
Cointelegraph reached out to Coinbase but was unable to get a response by the time of publication.
Related: $330M Bitcoin social engineering theft victim is elderly US citizen
FBI issues warnings on social engineering scams targeting crypto users
In July 2024, reports emerged that several Coinbase users were targeted by scammers posing as the exchange's support staff. The scammers managed to drain $1.7 million from one user.
The United States Federal Bureau of Investigation (FBI) issued a warning in August 2024, sounding the alarm on scammers posing as crypto exchanges in an attempt to steal user funds and sensitive user data.
The FBI expanded this warning in September 2024, highlighting the use of fake employment offers from scammers targeting crypto users.
According to the FBI, North Korean state-affiliated hacking groups would direct victims to download malicious software by disguising the software packages as employment tests, job applications, and information on investment opportunities.
More recently, in March 2025, crypto users reported an uptick in scam emails imitating legitimate communication from crypto exchanges, directing users to withdraw their funds to external wallets.
The growing variety and sophistication of social engineering scams prompted Coinbase chief security officer Phillip Martin to call for streamlining the scam reporting process by having a single, unified framework or repository for identifying and combating scams.
Magazine: Real AI use cases in crypto, No. 3: Smart contract audits & cybersecurity