As reported by the XRPlorer platform, dedicated to analyzing fraudulent activities taking place on Ripple, lots of XRP has been stolen by criminals through scams conducted on YouTube.
Update on the ongoing XRP scams on YouTube.
– 1,543,000 received
– 839,000 laundered
– Most used VASPs for laundering are @binance (508K) and NiceChange (273K)
– Victims: More than 60% XRP come from @coinbase users, ~25% from private wallets, and only ~2-3% from @binance users— XRP Forensics (XRPLF) (@xrpforensics) August 17, 2020
From what can be seen, criminals have received over 1.5 million Ripple (XRP) from users who have fallen into traps on the web.
At the current price of $0.29 for XRP, it is $440,000. But this is only about 55% of the total, i.e. 839 thousand XRP, which have been laundered directly on exchanges: 508 thousand XRP on Binance and 273 thousand on NiceChange.
Other data that emerges from the research is that relating to the origin of funds from users: 60% of XRP depart from the Coinbase exchange, 25% from private wallets and the rest from various exchanges such as Binance.
Here is a detailed list of exchanges and the sent XRP:
Other victims are widespread on different services: pic.twitter.com/tTAqYxx0ZJ
— XRP Forensics (XRPLF) (@xrpforensics) August 17, 2020
Ripple harassed by scams on YouTube and social media
We can thus see how the scourge of scams that afflicts the Ripple blockchain is really immense and does not cease to diminish.
Ripple is at the forefront of the fight against criminals and scammers, and has prepared a section to report all the fake pages that require the sending of XRP to take part in phantom airdrops.Â
Not only: the company intends to sue YouTube that seems to be unable to prevent the proliferation of scams involving XRP and the name of Ripple.Â
In any case, the data from XRPlorer are alarming and underline how many users still fall into these traps. They also point out that exchanges are not always ready to stop outgoing cryptocurrencies.
In fact, exchanges can block users and not allow them to send them to criminal addresses.
For example, in the case of the Twitter attack, exchanges like Coinbase blacklisted the address used by criminals, and many users were blocked from sending their cryptocurrencies.
At this point, all that we can do is observe how criminals prefer this crypto because, judging by the data, users are perhaps less experienced and more likely to fall into this kind of trap.
