Hidden Prompts Trick AI Into False Email Summaries
Security research highlights an indirect prompt injection attack vector where adversaries embed invisible HTML formatting within emails to compromise AI-powered summarization systems. Because the injected instructions remain hidden from human recipients while being parsed by underlying language models, attackers can manipulate generated summaries to insert false information, obscure critical warnings, or deceive users. The technique exploits how generative AI tools ingest raw email payloads without sufficient structural sanitization or separation between data and instructions.