RED

Binance responds to "hackers stealing coins through red envelopes": Initial suspicion is that the user's device may have had malicious plugins/software installed, and it is advised to report to the police

ChainCatcher message, Binance responded to "hackers stealing coins through red envelopes" stating: "Based on the current investigation results and the information at hand, we initially suspect that the user's device may have had malicious plugins/software installed, which led to the user's email, Google Authenticator, Binance account, and other account information being sequentially stolen by hackers. The hackers simulated the user's common device and IP environment based on this, successfully passing the verification steps during the red envelope initiation process, ultimately resulting in the theft of funds.It should be noted that when users send red envelopes for payment on the Binance platform, they need to verify their payment PIN/fingerprint or Face ID/authenticator app/email. Therefore, the reason for the theft of the user's account assets through the red envelope function is due to the aforementioned personal information being stolen. It is strongly recommended that the user report this incident to the police. The Binance security risk control team will assist in providing all the information we have and, with the user's cooperation, further investigate their device to jointly identify the final cause. We also remind all users to remain vigilant, enhance their security awareness, and ensure they use secure and clean devices. Be cautious of the security risks to accounts and devices to protect personal asset safety.
20 小时前

Bitget leverages artificial intelligence to enhance recruitment efficiency, reducing recruitment time by 38%

ChainCatcher news, Bitget has released a research report on the profound impact of artificial intelligence in the recruitment process. By introducing AI-driven recruitment systems, Bitget has achieved automation of resume screening, precise matching of candidates to positions, and improved decision-making efficiency, significantly optimizing the recruitment process.Before the introduction of the AI system, Bitget relied on manual candidate screening and external recruitment agencies, with an average recruitment cycle lasting up to 48 days, and some technical positions taking even more than 50 days to fill. Due to the heavy reliance on third-party recruitment agencies, nearly 40% of recruitment costs were consumed by these services, while the internal HR team had to handle about 500 resumes each month.After the introduction of the AI recruitment system, Bitget's recruitment cycle was shortened by 38%, reducing from 48 days to 30 days. The efficiency of AI-driven resume screening improved by 76%, allowing the HR team to focus on screening high-potential candidates. The automated process not only reduced recruitment costs by 25% but also increased employee retention rates by 15%. More precise job matching effectively reduced the first-year turnover rate, while AI also helped decrease recruitment bias by 38%.
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