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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 increasingly embedding malware instructions in public blockchain ledgers, creating “dead‑drop” channels that persist even after traditional servers are shut down. Chainalysis reports a 440 % surge in such activity, with daily malicious entries climbing from 2.06 to 11.1 after the rollout of unrestricted AI models. The method uses transaction data or smart‑contract calls on networks such as TRON, Aptos, BNB Chain, Polygon and Bitcoin to store encrypted commands, addresses and configuration details that infected computers can [...]