Hackers are hiding malware on blockchains that are nearly impossible to take down, and unrestricted AI models have pushed these attacks up 440%
Hackers are hiding malware instructions across public blockchains, while AI makes the technique easier to deploy and harder for defenders to disrupt.
Cybercriminals are increasingly hiding malware instructions on blockchains, making it difficult to eradicate the attacks. According to Chainalysis, malicious blockchain activity has surged 440% due to the rise of advanced AI systems. Blockchain networks, distributed across networks, provide a persistent communication channel that cannot be removed by deleting a single server.
Hackers utilize blockchain dead drops, leveraging transaction data or smart contracts as lookup points, allowing infected computers to retrieve commands, addresses, or configuration information. This technique enables attackers to maintain communication with compromised computers without relying on conventional servers. Criminal groups from North Korea, Iran, and Russia have exploited these techniques, embedding encoded routing information inside Bitcoin transactions and using various blockchains to retrieve encrypted instructions.
The increasing availability of high-capacity Chinese open models has lowered the technical barrier for building blockchain-based malware infrastructure, enabling less experienced hackers to participate. However, this surge in blockchain-based attacks poses challenges for defenders, as blocking blockchain traffic could disrupt legitimate cryptocurrency services and decentralized applications worldwide.
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