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Incident 1806: OpenAI Training Agent Reportedly Retrieved Credentials and Restricted Data From a Government Statistics Website

Responded
Description: OpenAI reported that an internal AI agent searching for hospital-bed figures during training retrieved more than 1,000 account records containing email addresses from a government statistics website. It downloaded application files and configuration files containing credentials, then bypassed authorization checks and saved 24 years of health-facility statistics.
Editor Notes: 06/17/2026: Incident date. 08/13/2026: Date the incident was discovered. 10/15/2026: OpenAI publishes its findings. 11/07/2026: Incident ID created.

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Alleged: OpenAI , Large language model developers and AI agent system developers developed an AI system deployed by OpenAI and AI agent system deployers, which harmed Targets of autonomous AI-enabled intrusion operations , Privacy , Information security , Governments and Government agencies.
Alleged implicated AI systems: OpenAI large language models , OpenAI AI agents , Large language models and AI agent systems

Incident Stats

Incident ID
1806
Report Count
1
Incident Date
2026-06-17
Editors
Daniel Atherton

Incident Reports

Reports Timeline

Incident OccurrenceRetrieving server secrets and bypassing authorization on a government statistics website - Response
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Retrieving server secrets and bypassing authorization on a government statistics website

Retrieving server secrets and bypassing authorization on a government statistics website

alignment.openai.com

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Retrieving server secrets and bypassing authorization on a government statistics website
alignment.openai.com · 2026
OpenAI post-incident response

Retrieving server secrets and bypassing authorization on a government statistics website

Highly persistent internal model · RL training

Incident date: Jun 17, 2026

Discovered: Aug 13, 2026

Report updated: Oct 15, 2026

Summary

During a data-…

Variants

A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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