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How audio-jacking using gen AI can distort live audio transactions


Using gen AI to identify and intercept keywords and replace them in context is the essence of how audio jacking works.

Weaponizing large language models (LLMs) to audio-jack transactions that involve bank account data is the latest threat within reach of any attacker who is using AI as part of their tradecraft. IBM’s Threat Intelligence team took LLM attack scenarios a step further and attempted to hijack a live conversation, replacing legitimate financial details with fraudulent instructions. He added that “ Phishing, vulnerability exploitation and using compromised credentials remain attackers’ top threat vectors of choice, which creates a defensible line for consumers, by adopting today’s well-known best practices, including not clicking on suspicious links or opening attachments, updating software and using strong password hygiene.”

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