A newly discovered indirect injection attack can trick AI systems into infecting their owners with malware. This vulnerability relies on hiding malicious prompts within DNS TXT records, which are then called from a GitHub repository's setup instructions. This method bypasses AI security tools that scan for payloads directly within the repository. AI
IMPACT This attack highlights a novel method for bypassing AI security measures, potentially leading to widespread malware infections if exploited.
RANK_REASON Discovery of a new indirect injection attack vector targeting AI systems. [lever_c_demoted from research: ic=1 ai=1.0]
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