Indirect prompt injection has emerged as a prevalent technique in AI hacking, posing risks for chatbots like Google's Gemini and OpenAI's ChatGPT. Researcher Johann Rehberger's recent demonstration reveals how untrusted inputs, like emails or documents, can be exploited to embed malicious prompts. This allows the chatbot to retain false information and act inappropriately in future sessions. The evolving nature of these attacks suggests ongoing vulnerabilities, as developers continue their attempts to fill security gaps while hackers innovate new ways to bypass defenses.
The recent revelation about indirect prompt injections highlights the persistent vulnerabilities in AI chatbots, allowing hackers to manipulate them despite ongoing developer efforts.
Johann Rehberger's latest demonstration shows that advanced AI hacking techniques continue to evolve, exposing weaknesses in platforms like Google's Gemini, which can be exploited for malicious purposes.
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