Recent findings from security researchers at a Black Hat hacker conference in Las Vegas have unveiled a vulnerability in OpenAI’s Connectors feature that could allow unauthorized extraction of sensitive data from users’ Google Drive accounts via ChatGPT. This threat relies on a method known as an indirect prompt injection attack, where a single "poisoned" document can be enough to initiate the breach.
The research, presented by Michael Bargury and Tamir Ishay Sharbat, demonstrated that by embedding a hidden malicious prompt in a harmless-looking document, they could instruct ChatGPT to search for sensitive API keys stored in a Google Drive account. The attack, dubbed AgentFlayer, requires no action from the victim other than accepting a shared document. Bargury emphasized its simplicity, stating, “There is nothing the user needs to do to be compromised.”
The Connectors feature, which allows ChatGPT to interact with other services like Google Drive, Gmail, and GitHub, was introduced earlier this year. It facilitates personalized responses by linking AI to user data. However, this also raises the potential for exploitation by hackers. OpenAI has been informed of the vulnerability, and while they have implemented some mitigations, the researchers noted that only a limited amount of information could be extracted at a time, preventing full document retrieval.
Bargury’s technique involved a seemingly benign document, which contained an invisibly formatted prompt directing ChatGPT to bypass its normal response mechanisms and access sensitive data. The demonstration included a fictitious meeting summary that obscured malicious instructions. The task culminated in the AI generating a downloadable link with API keys included, which was directed at an external server. Security experts, including Andy Wen from Google Workspace, acknowledged the significance of combating prompt injection attacks, highlighting the need for fortified protections as generative AI systems become more integrated into everyday applications.
The implications of such vulnerabilities extend beyond individual users; if exposed, sensitive organizational data could provide a gateway for further exploits, threatening the broader integrity of connected systems. As AI connectivity expands, both researchers and companies must grapple with the balance of enhanced capabilities versus increased security risks.
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