Threat actors now deploy AI-powered malware that adapts in real-time, automating crypto theft and fundamentally altering digital asset security. Malicious groups integrate large language models into malware, enabling dynamic script generation, real-time code obfuscation, and evasion of traditional signature-based defenses. Specific toolsets like PROMPTFLUX and PROMPTSTEAL, used by groups such as UNC1069, bypass security controls by assembling code at runtime and tailoring fileless scripts for specific targets, impacting individual wallets, exchanges, and decentralized finance infrastructure. Criminal syndicates and state-sponsored units leverage AI to accelerate attacks, generating phishing kits, refactoring malware, and automating data theft, with ransomware deployment times compressing significantly. Defenses must shift to behavior-centric detection, securing AI supply chains, and fostering active intelligence sharing, monitoring for LLM usage signals, securing AI frameworks, and sharing threat intelligence to counter these automated adversaries. Source: https://theweb3.news/crypto/ai-malware-crypto-security/ Hosted on Acast. See acast.com/privacy for more information.

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