Остро предупреждение за потребителите на айфон, каква е опасността

    Канадски екип от експерти по киберсигурност установиха, че злонамерени хакери са успели да проникнат в iPhone и да ги заразят с шпионския софтуер Pegasus.

    Твърди се, че има недостатък в услугата за съобщения iMessage, което означава, че е възможно хакерите да инсталират сложния софтуер, без потребителят на телефона да кликва върху нещо, пише

    Pegasus е високо усъвършенстван шпионски софтуер, който може, наред с други неща, да има достъп до камерата на телефона ви, да слуша разговори, да изпраща съобщения и да записва телефонните ви разговори, припомня „Фокус“.

    В публикация в блога си Citizen Lab пише, че недостатъкът в сигурността, неизвестен досега, но по-късно наречен HOMAGE, може да засегне устройства, работещи на всяка версия на iOS по-ранна от iOS 13.2.

    Последни публикации


    Свързани публикации

    1 Comment

    1. Recommendation system is a type of information filtering system that predicts the preferences or interests of a user and provides recommendations based on those predictions. It is widely used in various online platforms, including e-commerce websites, streaming services, and social media platforms.

      Here are some of the key features and benefits of recommendation systems:

      1. Personalization: Recommendation systems provide personalized recommendations based on user data, preferences, and behavior. This helps users discover new items or content that they are likely to be interested in, improving their overall user experience.

      2. Increase user engagement: By delivering relevant recommendations, recommendation systems can increase user engagement and encourage users to spend more time on the platform. This can lead to increased user satisfaction, retention, and revenue.

      3. Cross-selling and upselling: Recommendation systems can suggest additional products or services that complement the user’s current selection, leading to increased sales and revenue. For example, on an e-commerce platform, if a user is purchasing a camera, the system might suggest related accessories like lenses or tripods.

      4. Enhanced discovery: Recommendation systems help users discover new and relevant items or content that they might not have otherwise encountered. This can be particularly useful in applications such as music streaming platforms or news websites, where users can explore a wide variety of options based on their preferences.

      5. Improved customer satisfaction: By delivering personalized recommendations, recommendation systems can enhance the overall customer experience and satisfaction. Users are more likely to engage with a platform that understands their preferences and delivers relevant content.

      6. Data-driven decision making: Recommendation systems analyze large amounts of user data, such as browsing history, purchase behavior, or ratings, to generate recommendations. This data can be leveraged to gain insights and make data-driven decisions for product development, marketing strategies, and content creation.

      Overall, recommendation systems play a crucial role in improving user experiences, increasing user engagement, and driving revenue for online platforms. They leverage the power of data to deliver personalized recommendations that cater to the unique preferences and interests of each user.

    Leave A Reply

    Please enter your comment!
    Please enter your name here