育儿补贴到账前，“奶粉钱”骗局已精准送达，谁在贩卖母婴信息？

Core Points - The article highlights the rise of scams targeting new parents in light of the recently announced childcare subsidies by the National Health Commission, which offers 3,600 yuan per child per year for children under three years old [1][2][3] - Scammers have quickly adapted their tactics to exploit the expectations of new parents, using personal information to create convincing narratives that lead to financial theft [1][4][5] Group 1: Scam Tactics - Scammers are using tailored scripts that resonate with the emotional vulnerabilities of parents, often leveraging accurate personal information such as children's names and birth dates [1][6] - The scams often involve fake calls from individuals claiming to be from government agencies, guiding victims to enter sensitive information on fraudulent websites [4][7] - Victims have reported being directed to download suspicious applications that compromise their personal data and financial security [6][11] Group 2: Information Leakage - The article discusses a broader issue of personal information leakage, often facilitated by insiders in various industries who sell sensitive data to scammers [15][16] - A specific case highlighted involved a maternity service company employee selling nearly 40,000 records of newborns, leading to significant financial gains for the perpetrators [15][16] - The black market for personal information is thriving, with newborn data being particularly valuable for scammers due to its high accuracy and relevance [21][23] Group 3: Industry Response - The article emphasizes the need for a multi-faceted approach to combat these scams, involving legal, administrative, and public awareness efforts [29][32] - Recent legal frameworks have been established to address the growing issue of personal information theft and related scams, with increased penalties for offenders [31][32] - The collaboration between various sectors, including law enforcement, technology companies, and the public, is crucial to effectively mitigate the risks associated with personal data exploitation [32][33]