A ChatGPT flaw lets hidden prompts access Google Drive cloud data
AgentFlayer, a zero-click ChatGPT exploit, steals sensitive cloud data via Google Drive.

AgentFlayer is a newly discovered prompt injection attack that poses significant cybersecurity threats by exploiting vulnerabilities in AI systems like ChatGPT. Strategically designed, this cyberthreat takes advantage of ChatGPT's Connectors, recently rolled out to enhance the AI's interoperability with various platforms, including popular cloud services like Google Drive and Microsoft OneDrive. Zenity Labs researchers discovered the exploitation method, bringing to light the critical weaknesses in unregulated chatbot interactions.
The attack methodology involves embedding a concealed malicious prompt within a document, formatted to evade human detection, intended for ChatGPT's processing. This prompt, appearing in white, size-one font, contains 300 words structured to direct the chatbot to extract sensitive information, such as API keys, from a user's linked Google Drive. Once the document is innocuously shared and opened via Google Drive, the attack silently initiates upon any subsequent interaction with ChatGPT, provided the Connectors feature remains active.
Google officials noted that the AgentFlayer risk is not confined only to their cloud platform, underscoring the broader industry-wide vulnerability in AI applications. Andy Wen, Google's Senior Director of Security, stated that the company is developing stronger safeguards to shield their AI services from covert malicious instructions. This endeavor emphasizes Google's proactive stance on enhancing data security against unforeseen AI-generated threats that exploit systemic loopholes.
OpenAI has been alerted about these vulnerabilities earlier in the year, resulting in the swift implementation of mitigations intended to prevent AgentFlayer from further exploiting Connectors. While the exploit theoretically allows limited data exfiltration per request, its implications signal profound security challenges intrinsic to AI systems accessing user and cloud-based data. Zenity Labs’ disclosure intensifies public discourse on the complexity of securing AI frameworks against covert attacks, due to the rapidly evolving landscape of technology and malicious cyber activities.
Such findings amplify the urgency to address ethical concerns and secure AI systems while preserving their integrity and functionality. The chilling reality of AgentFlayer reveals the potential for AI-driven technologies to be manipulated into unwitting accomplices in digital crimes, particularly when orchestrated by adept cybercriminals with access to sensitive data repositories.
Sources: TechSpot, Zenity Labs, Wired