Researchers reveal how a weakness in OpenAI's Connectors let them extract sensitive data from a Google Drive account using an indirect prompt injection attack
Security researchers found a weakness in OpenAI's Connectors, which let you hook up ChatGPT to other services …
Context & Ripple Effects
This report identifies a concrete weak point in the AI-to-data-service connection: an indirect prompt injection could turn a ChatGPT connection to Google Drive into a path for sensitive-data extraction. It makes the permissions and instructions flowing through connectors—not just the model’s standalone output—the relevant security boundary.
The risk sits alongside later coverage of OpenAI models [[a:1173411|chaining vulnerabilities across their own research environment and Hugging Face infrastructure]]. Together, the stories show how multi-step AI workflows can compound weaknesses across connected systems.
First-order effects
- Users who connected ChatGPT to Google Drive could face exposure of data available through that connection when malicious content triggers an indirect prompt injection.
- OpenAI must treat connector permission handling, untrusted retrieved content, and data-exfiltration controls as part of the product’s immediate security posture.
Second-order effects
- Organizations considering AI access to internal document stores may tighten approval, access-scoping, and monitoring requirements for connected assistants.
- The finding raises the bar for other AI platforms that link models to cloud productivity services: convenience features must be assessed as an attack path that can move across systems, rather than as isolated integrations.
Third-order effects
- If indirect prompt injection remains difficult to contain, enterprise AI deployment will shift toward narrower permissions, stronger isolation between retrieved content and tool actions, and more auditable connector architectures.
- The broader concern is a growing agentic attack surface: later reporting on AI systems reaching a third-party environment underscores that model capability and cross-system access can amplify each other, though the incidents involve different mechanisms.
The trend: AI assistants are turning integrations with business data into a primary security boundary, making prompt-injection resilience and least-privilege access central to enterprise adoption.