20 Rugs in 8 Days: Avoid Assets Created by This Wallet
The past eight days, the market has witnessed a staggering 20 rug pulls, amounting to a total rug volume of approximately $150,000. This spree of deceitful activities has left the crypto community both alarmed and cautious.
The perpetrators behind these rug pulls have been meticulously orchestrating one scam after another, leaving no time for recovery or reflection. Tokens with catchy and somewhat whimsical names like FEET, FOOT, GOBLIN PARTY and UNEMPLOYED were launched and then rugged within a mere hour of their introduction.
~$150k rug volume
still rugging right now
They made a killing this week, chaining one rug after another.
Launch coins like $feet $FOOT $GOBLIN $PARTY $UNEMPLOYED and 15 others, all rugged within 1hr.
Latest rug: https://t.co/CIKICgOI3t
Stalk on @ArkhamIntel pic.twitter.com/c6RrIHidLu
— Rock 🪨 (@DataaRocks) October 6, 2023
The latest asset introduced by this dubious developer has yet to be rugged. However, its trading patterns mirror those of its predecessors. While the initial tokens like GOBLIN and FOOT garnered significant support, this new asset seems to be struggling. The buy orders, though present, are suspected to be from the developer himself or from wallets under his control. This tactic of self-buying is often used to create an illusion of demand and legitimacy.
How do these developers manage to execute rug pulls so seamlessly? The answer lies in a combination of sandwich attacks, MEV (Miner Extractable Value) bots and bribing tactics. In a sandwich attack, the scammer places a buy order, followed by a sell order and then another buy order. This artificially inflates the token’s price, luring unsuspecting investors. Once the price is high enough, the scammer sells their tokens, causing the price to plummet and leaving investors with worthless assets.
MEV bots, on the other hand, are programmed to identify and exploit profitable opportunities in the market. By bribing these bots, developers can ensure their malicious transactions are prioritized, further facilitating their scams.