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نات پیکسل از ترسش تاریخ لیست سریع اعلام کرد تا گند همستر رو جمع کنه.

• پروژه نات پیکسل در نوامبر لیست و پول میشه!!! توکن $PX در ماه نوامبر در تمامی صرافیا لیست میشه!! این پروژه رو از دست ندید توسط ناتکوین معرفی شده و داغ داغه.


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نات پیکسل از ترسش تاریخ لیست سریع اعلام کرد تا گند همستر رو جمع کنه.

• پروژه نات پیکسل در نوامبر لیست و پول میشه!!! توکن $PX در ماه نوامبر در تمامی صرافیا لیست میشه!! این پروژه رو از دست ندید توسط ناتکوین معرفی شده و داغ داغه.


@Arzdigital_ney

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Additionally, investors are often instructed to deposit monies into personal bank accounts of individuals who claim to represent a legitimate entity, and/or into an unrelated corporate account. To lend credence and to lure unsuspecting victims, perpetrators usually claim that their entity and/or the investment schemes are approved by financial authorities. Ukrainian President Volodymyr Zelensky said in a video message on Tuesday that Ukrainian forces "destroy the invaders wherever we can." 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. Telegram has gained a reputation as the “secure” communications app in the post-Soviet states, but whenever you make choices about your digital security, it’s important to start by asking yourself, “What exactly am I securing? And who am I securing it from?” These questions should inform your decisions about whether you are using the right tool or platform for your digital security needs. Telegram is certainly not the most secure messaging app on the market right now. Its security model requires users to place a great deal of trust in Telegram’s ability to protect user data. For some users, this may be good enough for now. For others, it may be wiser to move to a different platform for certain kinds of high-risk communications. For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content.
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