Jun 22, 2023Single source
Reported Accidental Exposure of 38TB of Data by Microsoft's AI Research Team
Rogue: Caused harmAI loose in the worldData exfiltrationDERIVED
Approved by person, Oct 11, 2026. How entries are approved
Microsoft's AI research team reportedly accidentally exposed 38TB of sensitive data while publishing open-source training material on GitHub. The exposure allegedly included secrets, private keys, passwords, and internal Microsoft Teams messages. The team reportedly utilized Azure's Shared Access Signature (SAS) tokens for sharing, which were purportedly misconfigured, leading to the wide exposure of data.
What this means for youAt work, this shows that sharing cloud storage links with broad or misconfigured access can expose secrets and private messages even when the data was meant only for training AI. Teams publishing datasets should check that access tokens are scoped narrowly and expire.
Sources
- AI Incident Databasehttps://incidentdatabase.ai/cite/571
Data from the AI Incident Database (incidentdatabase.ai), licensed CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/). McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. IAAI-21.
Source data license: CC BY-SA 4.0 (database). Report contents keep their own rights; reports.text, submissions, images and videos are excluded from the data license.
rogue:R4
Covered by snapshot 45
da93f03b406f409940d0a6ef47b526607f82ebf457d98f69299b88aceede576a
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