- بفضل الله يمكنك إنشاء صدقة جارية لك في قناتك أو مجموعتك حتى وإن كنت مشرف برفع بوت ﴿فَاذكُروني أَذكُركُم﴾ @Kbb6eacb43378BOT ، ومميزات الصدقة هي 🔖:
- أذكار وأدعية ومحاضرات وتذكير بالصلوات وصلاة الضحى وصلاة الوتر وأذكار الصباح والمساء ومصادر تعلم شرع الله وحفظ ومراجعة وتثبيت القرآن الكريم والتأكد من صحة الأحاديث النبوية 🔖.
- بفضل الله يمكنك إنشاء صدقة جارية لك في قناتك أو مجموعتك حتى وإن كنت مشرف برفع بوت ﴿فَاذكُروني أَذكُركُم﴾ @Kbb6eacb43378BOT ، ومميزات الصدقة هي 🔖:
- أذكار وأدعية ومحاضرات وتذكير بالصلوات وصلاة الضحى وصلاة الوتر وأذكار الصباح والمساء ومصادر تعلم شرع الله وحفظ ومراجعة وتثبيت القرآن الكريم والتأكد من صحة الأحاديث النبوية 🔖.
- قم الضغط على (شرح) هنا 🔖⬇️:
BY ألا بذكر الله تطمئن القلوب ♥️
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These entities are reportedly operating nine Telegram channels with more than five million subscribers to whom they were making recommendations on selected listed scrips. Such recommendations induced the investors to deal in the said scrips, thereby creating artificial volume and price rise. But because group chats and the channel features are not end-to-end encrypted, Galperin said user privacy is potentially under threat. If you initiate a Secret Chat, however, then these communications are end-to-end encrypted and are tied to the device you are using. That means it’s less convenient to access them across multiple platforms, but you are at far less risk of snooping. Back in the day, Secret Chats received some praise from the EFF, but the fact that its standard system isn’t as secure earned it some criticism. If you’re looking for something that is considered more reliable by privacy advocates, then Signal is the EFF’s preferred platform, although that too is not without some caveats. Continuing its crackdown against entities allegedly involved in a front-running scam using messaging app Telegram, Sebi on Thursday carried out search and seizure operations at the premises of eight entities in multiple locations across the country. For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content.
from vn
