据越南政府官网称，确认国家信用信息中心遭遇的网络攻击可能导致大规模个人数据泄露，提醒公众保持警惕。越南网络应急响应中心表示，9月10日发现黑客攻击，目前正在采取紧急措施。相关部门正会同央行及其他机构控制漏洞并加固信用中心系统。越南当局警告个人和组织不要下载、共享或利用泄露的数据，并表示违规者将面临法律诉讼。当局还敦促银行和其他金融机构按照国家标准加强网络安全。🗒️国家信用信息中心隶属于越南央行，作为全国中央征信机构，负责收集和提供个人及企业的信用信息，以支持金融体系内的贷款决策。 ...

近日，某境外反华敌对势力针对某机关单位工作邮箱实施网络攻击窃密活动，并以此为跳板，将病毒植 入与该单位有业务联系的其他单位工作邮箱，造成多家单位工作邮箱被控用。事发后，国家安全机关迅 速指导相关单位开展全面安全检测和清理修复工作，及时堵塞漏洞，有效防止危害进一步扩大。 精心设陷 诱导"上钩" 经查，该境外反华敌对势力通过技术攻击或钓鱼邮件获取某地机关单位部分工作邮箱的登录权限后，暗 中开通这部分中毒邮箱的自动回复功能，并在自动回复的邮件中植入病毒。由此一来，任何向这部分中 毒邮箱发送邮件的邮箱，都会收到自动回复带有病毒的邮件，并成为新的"攻击源"，如此反复，持续扩 大攻击范围，增加防控难度。同时，该境外反华敌对势力在病毒邮件中发布恶意造谣的有毒信息，企图 蛊惑人心，造成更大范围的社会影响和安全风险。 复盘检视 排查漏洞 此次被网络攻击的机关单位系某行业领域管理部门，境外间谍情报机关和反华敌对势力对该领域高度关 注，将该领域有关单位作为窃密渗透的重点目标，一旦相关敏感资料被窃取，将严重损害我国家安全和 利益。调查发现，该领域个别单位在网络安全方面管理缺失，给攻击者可乘之机。 ——加强终端防护，堵住"病毒入口"。 ...

Core Viewpoint - The computer industry is expected to maintain a positive growth trend, with significant revenue and profit increases in the first half of 2025, driven by six key sectors: data elements, autonomous driving, AI, cloud computing, fintech, and cybersecurity [1][2]. Summary by Sections Overall Performance - In H1 2025, the total revenue of the computer industry reached 619.68 billion yuan, representing a year-on-year increase of 11.24%. The net profit attributable to shareholders was 13.67 billion yuan, up 29.36% year-on-year, while the non-recurring net profit was 8.01 billion yuan, increasing by 31.01% [2]. - In Q2 2025, the total revenue was 333.77 billion yuan, showing a year-on-year growth of 7.85%. The net profit attributable to shareholders was 10.86 billion yuan, up 13.19%, and the non-recurring net profit was 7.97 billion yuan, reflecting a growth of 5.77% [2]. Margin and R&D - The gross profit margin increased in H1 2025, while the average net profit margin stabilized. The R&D expense ratio decreased, whereas sales and management expenses increased [2]. Sector Performance - The sectors with positive growth in both revenue and net profit include data elements, autonomous driving, AI, cloud computing, fintech, and cybersecurity [3]. - Large-cap companies (market value over 10 billion yuan) showed more stable performance compared to small and mid-cap companies. In H1 2025, large-cap companies had revenue, net profit, and non-recurring net profit growth rates of 17%, 27%, and 22%, respectively. In contrast, mid-cap companies (50-100 billion yuan) experienced declines in these metrics, with revenue down by 10% and net profit down by 607% [3]. - In Q2 2025, large-cap companies continued to perform well, with revenue growth of 13%, net profit growth of 15%, and non-recurring net profit growth of 6%. Mid-cap companies faced further declines, with revenue down by 12% and net profit down by 38% [3].

网络安全法修正草案引热议：加大处罚力度 强化源头治理 中新社北京9月11日电 题：网络安全法修正草案引热议：加大处罚力度 强化源头治理 中新社记者 郭超凯 网络安全法修正草案正提请十四届全国人大常委会审议。在分组审议中，与会人员围绕违法行为处罚力 度、事前预防机制建设以及新兴领域安全防护等焦点问题展开讨论。多位委员呼吁进一步强化网络安全 前端治理和全链条监管。 加大处罚力度，提升法律威慑 网络安全法是网络安全领域的基础性法律，自2017年6月1日起施行。近年来，利用网络从事网络入侵、 网络攻击等违法行为屡有发生。为适应网络安全新形势新要求，网络安全法修正草案重点强化网络安全 法律责任，加大对违法行为处罚力度。 全国人大常委会委员高开贤表示，现行法律对于网络违法行为分类不够精细化，相关违法行为的处罚力 度不足、违法行为成本较低，难以有效预防和遏制网络违法行为。此次提请审议的修正草案针对性较 强。 全国人大常委会委员郝平表示，网络安全法的修改是适应新时代网络安全需求的重要举措。此次修改完 善法律责任制度，调整违法行为的行政处罚种类和幅度，有利于震慑违法行为，遏制网络犯罪高发态 势。 强化事前防范，突出源头治理 截 ...

Core Points - Anbotong's stock price increased by 5% to 105.00 CNY per share, with a trading volume of 161 million CNY and a turnover rate of 2.05%, resulting in a total market capitalization of 8.07 billion CNY [1] - Anbotong specializes in the research, development, sales, and related technical services of core software products in the cybersecurity sector, with revenue composition as follows: Security Gateway 39.47%, Security AI 35.21%, Security Management 18.05%, Security Services 7.15%, and Others 0.12% [1] Fund Holdings - According to data, one fund under GF Fund has a significant holding in Anbotong, specifically the GF Reform Mixed Fund (001468), which held 68,900 shares in the second quarter, unchanged from the previous period, accounting for 2.48% of the fund's net value, ranking as the fourth-largest holding [2] - The GF Reform Mixed Fund was established on July 27, 2015, with a current size of 197 million CNY, yielding a return of 22.97% year-to-date, ranking 3278 out of 8175 in its category; over the past year, it achieved a return of 38.2%, ranking 4011 out of 7982 [2] - The fund manager, Chen Shaoping, has a tenure of 18 years and 290 days, with the fund's best return during his tenure being 67.03% and the worst being -27.18% [2]

Core Viewpoint - The perception of computer science (CS) as a "safe career choice" is rapidly deteriorating, with rising unemployment rates among graduates indicating a significant shift in the job market [2][3][10]. Group 1: Employment Trends - The unemployment rate for CS graduates has surged to 6.1%, nearly double that of philosophy graduates, while computer engineering graduates face an even higher rate of 7.5% [5][6]. - Graduates from top institutions like MIT and Stanford have seen their employment rates drop from 80% to 70% within two years, with the proportion entering major tech companies plummeting from 25% to 11-12% [7][10]. - The tech industry has experienced massive layoffs, with over 151,000 jobs cut in 2024 and an additional 22,000 in early 2025, affecting major companies like Google and Microsoft [14][15]. Group 2: Educational Challenges - The number of CS degrees awarded has more than doubled over the past decade, from 51,000 to 112,000, leading to a surplus of graduates compared to available job opportunities [16][17]. - Many universities continue to focus on outdated curricula, failing to keep pace with the evolving job market, which has resulted in a mismatch between graduate skills and industry needs [16][17]. Group 3: Market Dynamics - Companies are increasingly prioritizing skills and project experience over formal education, with 52% of job postings in early 2024 not requiring any formal education [20][23]. - The demand for traditional programming roles is declining, while positions in AI, machine learning, data engineering, and cybersecurity are on the rise, with growth rates significantly exceeding average values [24]. Group 4: Adaptation Strategies - Students are encouraged to build portfolios and gain practical experience, as employers are more interested in problem-solving abilities than academic performance [27][28]. - Participation in hackathons and real-world projects can provide valuable experience and improve employability, as demonstrated by successful case studies of graduates [27][28].

此外，要进一步完善便利安全的数据出境安全管理体系。研究制定重点行业领域数据出境合规指引相关 政策文件，明确典型业务场景下数据出境的具体要求和便利化举措。加强数据出境安全监管技术能力建 设和运用，强化事前事中事后全链条全领域监管。 《新安全》杂志9月11日消息，中央网信办副主任、国家网信办副主任王京涛在《新安全》杂志上撰文 表示，要加强顶层谋划，围绕保障改革任务落实、防范重大安全风险、促进新技术新应用健康发展等方 面重大需求，谋划"十五五"网络安全工作。 文章称，要进一步构建包容审慎的新技术安全监管体系。不断完善人工智能安全监管制度和标准规范体 系，从人工智能全生命周期全要素明确规范要求，常态化开展人工智能安全风险监测预警。推动建立人 工智能应用安全测评体系，会同行业主管部门研究制定人工智能行业应用安全指南，在防范安全风险的 同时，发挥重点行业应用需求对人工智能技术发展的引领带动作用。同时，围绕量子信息、卫星互联 网、低空经济等加强前瞻性安全评估和监管，确保新技术新应用安全健康有序发展。 ...

Core Insights - The article discusses the emerging role of AI in cybersecurity, particularly through the development of large models that can simulate attacks and identify vulnerabilities without causing harm [2][3] - Amazon AWS AI's Q Developer team has introduced two innovative methods for training cybersecurity models: Cyber-Zero and CTF-Dojo, marking a shift from general tasks to the frontline of cybersecurity [3][9] Summary by Sections Cyber-Zero - Cyber-Zero focuses on generating high-quality training data without relying on real runtime environments, utilizing existing knowledge and language modeling to create behavior trajectories [10][11] - The method extracts key steps from public CTF competition writeups, allowing the model to simulate interactions between attackers and defenders in a safe, text-based environment [11][13] - Experimental results indicate that Cyber-Zero can produce diverse and effective training data, achieving comparable or superior performance in vulnerability detection and attack path reasoning compared to real environment-generated data [13][15] CTF-Dojo - CTF-Dojo provides a real operational environment for AI models to execute commands, interact with systems, and discover vulnerabilities, complementing the virtual training offered by Cyber-Zero [16][19] - The team developed CTF-Forge, a tool that automates the setup of CTF challenges, significantly reducing the time and labor required to create a stable operating environment for large language models [16][19] - The dataset for CTF-Dojo includes 658 independent task instances from top-tier CTF competitions, covering various categories such as web vulnerabilities and binary exploitation [19][21] Performance Evaluation - Models trained using CTF-Dojo demonstrated significant improvements in benchmark tasks, with the best-performing model achieving an absolute increase of 11.6% on the En IGM A+ benchmark [22][24] - The results highlight the scalability and effectiveness of using real execution data to enhance the performance of cybersecurity models, suggesting a pathway for AI to approach human-level capabilities in ethical hacking [24][26] Future Implications - The integration of Cyber-Zero and CTF-Dojo creates a comprehensive training and operational framework for AI in cybersecurity, addressing both data generation and practical application challenges [26][27] - The potential applications of AI white-hat hackers include automated code scanning, vulnerability discovery, and personalized training in educational settings, indicating a broad future impact [27][28] - However, the dual-use nature of this technology raises concerns about its potential misuse for offensive purposes, necessitating discussions on balancing accessibility with security [28][29]

Company Overview - Beijing Yinxin Changyuan Technology Co., Ltd. is located at 35 Anding Road, Chaoyang District, Beijing, and was established on May 31, 2004. The company was listed on June 15, 2011. Its main business involves IT infrastructure for government and enterprise data centers, providing overall solutions for IT operation and maintenance services [1][2] - The revenue composition of the company includes: 48.15% from system integration services, 44.96% from IT infrastructure operation and maintenance services, 5.68% from computing power services, and 1.21% from software development and sales [1] Financial Performance - For the first half of 2025, the company achieved operating revenue of 838 million yuan, representing a year-on-year growth of 7.36%. The net profit attributable to the parent company was 48.91 million yuan, with a year-on-year increase of 20.89% [2] - Since its A-share listing, the company has distributed a total of 719 million yuan in dividends, with 212 million yuan distributed over the past three years [3] Stock Performance - As of September 11, the stock price of Yinxin Technology increased by 2.06%, reaching 11.91 yuan per share, with a total market capitalization of 5.291 billion yuan. The stock has decreased by 3.64% year-to-date, with a 0.76% increase over the last five trading days [1] - The company experienced a net inflow of main funds amounting to 2.4033 million yuan, with significant buying and selling activities recorded [1] Shareholder Information - As of June 30, 2025, the number of shareholders was 50,100, a decrease of 5.40% from the previous period. The average circulating shares per person increased by 5.71% to 8,872 shares [2] - The top ten circulating shareholders include Huabao Zhongzheng Financial Technology Theme ETF, which holds 2.9319 million shares, and Hong Kong Central Clearing Limited, which is a new shareholder holding 2.5034 million shares [3]

Core Viewpoint - StarNet RuiJie has shown significant stock performance with a year-to-date increase of 57.94% and a market capitalization of 17.337 billion yuan as of September 11 [1] Financial Performance - For the first half of 2025, StarNet RuiJie reported revenue of 8.886 billion yuan, a year-on-year increase of 21.76%, and a net profit attributable to shareholders of 212 million yuan, reflecting a growth of 69.32% [2] - Cumulative cash dividends since the company's A-share listing amount to 1.145 billion yuan, with 353 million yuan distributed over the past three years [3] Shareholder Structure - As of June 30, 2025, the number of shareholders decreased by 12.03% to 53,800, while the average circulating shares per person increased by 13.67% to 10,842 shares [2] - The top ten circulating shareholders include Hong Kong Central Clearing Limited as the second-largest shareholder, increasing its holdings by 8.064 million shares [3] Business Overview - StarNet RuiJie's main business segments include enterprise-level network equipment (72.69% of revenue), communication products (13.69%), and other services [1] - The company operates in various sectors such as network communication, cloud terminals, digital entertainment, and smart city solutions [1]