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08/16 00:59

The Bitcoin open-source ecosystem recently disclos

# Trending Token Price Prediction Challenge #HTX 13th-Anniversary Carnival #HTX Creation Challenge — Post and Win 1,500U The Bitcoin open-source ecosystem recently disclosed the results of a large-scale security audit. The Bitcoin Red Team stated that, using Moonshot AI's Kimi K3 model, the team identified 7,958 potential security issues in approximately two weeks. However, this number is closer to a queue of security vulnerabilities awaiting verification than thousands of confirmed exploitable vulnerabilities. 1,280 High-Risk Issues Of these findings, 1,280 were marked as high-risk or severe. However, as of the latest statistics, only 24.7% of the issues have been dynamically reproduced, and 29.4% have been reported to upstream projects. A large number of results remain in the initial screening stage, and researchers still need to confirm whether they are truly exploitable, whether they are duplicate reports, or whether they are false positives. This also illustrates that AI can significantly expand the coverage of code reviews, but whether they ultimately constitute vulnerabilities still requires human verification. For security teams, models are more like tools to broaden the scope of investigations, rather than the endpoint to replace audit conclusions. BTCPay Server Vulnerability Fixed This round of auditing has already resulted in actual fixes. When BTCPay Server released version 2.4.2 on August 7th, it stated that it had fixed a critical vulnerability that was being exploited and credited the issue to Bitcoin Red Team researchers Bruno Garcia and Ben Carman. The vulnerability involved bypassing TOTP two-factor authentication under Greenfield Basic Authentication. Following the update, BTCPay Server also changed the default state of Basic Authentication after account creation to disabled to reduce risk exposure. OpenSats subsequently disclosed that its operating environment used the affected BTCPay Server and LND components. The organization stated t

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