🕵️Anti Detection

CrowBot's Anti Sybil-detection measures to make sure wallets aren't detected & blacklisted through their activity.

CrowBot Airdrop Farming tool distinguishes itself with its cutting-edge security and privacy protocols crafted to mimic human behaviors.

Enhanced Disguise Techniques: We've developed a sophisticated method to make each transaction within a wallet appear completely distinct. This involves varying the times of transactions, interacting with a diverse range of decentralized applications, modifying the amounts transacted, and altering the regularity of transactions. This approach is designed to make every wallet action look organic and individualized.

Learning from Previous Cases: Our services have been refined through insights gained from previous airdrops such as the Arbitrum Airdrop. Understanding the tactics used to identify participants in that event has enabled us to significantly improve our service's ability to remain under the radar, effectively bypassing automated systems designed to spot scaled farming activities.

Long-Term Reliability: Our approach is designed to be effective for multiple wallets over an extended period, continuously evolving to counteract new detection methods. This ensures the ongoing success of our automated farming techniques.

Safeguarding User Investments: We recommend using Centralized Exchanges (CEXs) for funding your wallets. CEXs use common withdrawal addresses, which helps in creating distinct wallets and concealing the links between them. This method reduces the likelihood of your wallets being detected and blacklisted.

Commitment to Data Security: We prioritize Remote Procedure Call (RPC) providers with stringent privacy policies. Our chosen providers either do not log data or ensure that any logged data cannot be linked back to user IPs. This commitment to privacy fights the risk of IP-based detection.

Focus on Secure Key Storage: The security of our users is a primary concern. We ensure that private keys are encrypted with high-level security measures, playing a crucial role in protecting user information and maintaining confidentiality.