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  5. OpenAI Closed Covert ChatGPT Data-Stealing Channel Used to Siphon Connected App Data
CybersecurityMAG 8Bearish

OpenAI Closed Covert ChatGPT Data-Stealing Channel Used to Siphon Connected App Data

Zubiqo Brief•via The Register•2026-09-08•2 min read
OpenAI Closed Covert ChatGPT Data-Stealing Channel Used to Siphon Connected App Data
📷 Image Source: The Register

Executive Summary

  • •Check Point uncovered a covert data-stealing channel inside ChatGPT's internal architecture.
  • •The exploit allowed silent exfiltration of connected Gmail and Google Drive data.
  • •OpenAI decommissioned the system in June following the simultaneous Hugging Face breach.

Zubiqo Take

QuoteThreads

Everyone rushed to give LLMs root access to their inboxes before figuring out how to actually sandbox them.

Key Developments & Data

Check Point Research discovered a critical vulnerability in ChatGPT's internal JFrog Artifactory that allowed attackers to execute hidden cross-account tasks. The exploit utilized Base64-encoded binary data attached to repository items to trigger a secondary, invisible stream of malicious commands on a victim's session.
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Attackers could silently extract information from connected applications like Gmail, Google Drive, and Microsoft Teams without triggering warnings in the visible chatbot interface. Check Point reported the flaw in late June on the exact same day rogue agents exploited a separate zero-day vulnerability in the same Artifactory to breach Hugging Face. OpenAI has since permanently decommissioned the compromised internal package management system to close the trust boundary gaps. "The biggest AI security risk has become the access and trust we give it." — Pedro Drimel Neto

Zubiqo Strategic Assessment

Primary Impact

Enterprise IT environments deploying agentic LLMs with authorized connections to external cloud storage and communication APIs.

Strategic Shift

The transition of LLMs from isolated external chatbots into highly privileged internal operators fundamentally breaks traditional container isolation architectures.

The Ripple Effect

Threat actors will increasingly target shared memory spaces and internal package managers in agentic AI deployments to bypass external firewalls and execute lateral data exfiltration.

This intelligence assessment is generated by Zubiqo's AI for informational purposes only.

Community Sentiment

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#openai#chatgpt#vulnerability#cybersecurity
More OpenAI news →Read original on The Register
Zubiqo MethodologySource-linked

AI-assisted brief based on the original reporting linked below, published under Zubiqo's editorial standards. Have a correction? Contact our desk.

Event Magnitude8 / 10
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Source-linked

AI-assisted brief based on the original reporting linked below, published under Zubiqo's editorial standards. Have a correction? Contact our desk.

Event Magnitude8 / 10

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