The HumidiFi DeFi project on Solana faced a major controversy around its WET token presale after a participant allegedly used a large Sybil bot setup to capture the majority of the allocation, forcing the team to redesign the token launch to protect smaller, legitimate investors. According to coverage and social media posts, the attacker, known as Ramarxyz, reportedly controlled over 1,000 wallets and acquired roughly 70% of the presale tokens, then demanded a refund, prompting HumidiFi to cancel those allocations and move to a pro‑rata airdrop model and a new audited token contract. HumidiFi had originally conducted its WET presale via Jupiter’s IDO platform and structured it in multiple tranches intended to favor DeFi participants and point farmers in the Solana ecosystem. The sale, however, was effectively “sniped” in seconds by a bot farm whose wallets were specially funded and optimized to interact with the smart contract faster than normal users, leaving most community members unable to participate. The team later acknowledged that this activity appeared concentrated in the hands of a single whale, undermining the goal of fair distribution, and stated that the compromised WET token would be discontinued in favor of a new token with improved protections and an audited contract. In response to the Sybil attack, HumidiFi announced that the allocations associated with the bot farm would be canceled and that legitimate presale users would instead receive a pro‑rata airdrop in a revised token structure. Reports indicate that those who participated in the original sale will be able to claim the new token once the updated presale and contract deployment are finalized, while the original WET tokens accumulated by the attacker are likely to be left with little or no value. The incident has drawn attention to vulnerabilities in public token launches on Solana, the limitations of existing anti‑bot measures on IDO platforms such as Jupiter, and the operational and reputational risks projects face when distribution can be dominated by automated trading infrastructures.

AI-generated background, compiled from web sources — not editorial content.

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