Learn More About the Project
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AI-Powered Fraud and Manipulation: Attackers are leveraging Artificial Intelligence (AI) and Large Language Models (LLMs) to enhance their attacks:
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Hyper-Realistic Social Engineering: Creating highly convincing phishing, vishing, or SMS messages to steal credentials.
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Deepfakes: Bypassing identity verification processes or impersonating executives to authorize fraudulent transfers.
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Automated Attacks: Using AI to find software vulnerabilities, generate malware, and automate trading manipulations.
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Transaction Manipulation (Address Poisoning): This rising technique involves a hacker sending a tiny transaction from an address that closely mimics the legitimate recipient’s address. A user checking their history might mistakenly copy the fraudulent, similar-looking address for their next large transfer, sending their funds to the attacker.
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Scams and Unsupported Projects: The market continues to be plagued by scams like “Rug Pulls” (where developers abandon a project and run off with the funds) and Ponzi Schemes, especially around new cryptocurrencies and NFTs with no clear utility or public team.
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Quantum Computing Threat (Long-term): While not an immediate risk, the eventual emergence of powerful quantum computers could break the public-key cryptography (like ECDSA) that secures most blockchains. The risk now is a “harvest now, decrypt later” scenario, where encrypted data is intercepted and stored for future decryption.