Reported Public Exposure of Over 100,000 LLM Conversations via Share Links Indexed by Search Engines and Archived
Description
Across 2024 and 2025, the share features in multiple LLM platforms, including ChatGPT, Claude, Copilot, Qwen, Mistral, and Grok, allegedly exposed user conversations marked "discoverable" to search engines and archiving services. Over 100,000 chats were reportedly indexed and later scraped, purportedly revealing API keys, access tokens, personal identifiers, and sensitive business data.
Actors
Alleged Deployers
- xai
- openai
- mistral
- microsoft
- anthropic
- alibaba
Alleged Developers
- xai
- openai
- mistral
- microsoft
- anthropic
- alibaba
- chatbot-developers
- large-language-model-developers
Harmed Parties
- privacy
- grok-users
- general-public
- copilot-users
- claude-users
- chatgpt-users
- mistral-users
- qwen-users
- information-integrity
Classification
Risk Domain
Privacy & SecurityRisk Subdomain
2.1. Compromise of privacy by obtaining, leaking or correctly inferring sensitive information
MIT Risk Profile
Topics
Source
Related Incidents (Privacy & Security)
View all →Research Papers on This Topic
View all →StarCoder: may the source be with you!
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
Mitigation Tools
Tools related to this risk domain, via shared responsible AI topics.
Open Source
View all →flair
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
⭐ 14,353
PySyft
OpenMined/PySyft
Perform data science on data that remains in someone else's server
⭐ 10,041
FATE
FederatedAI/FATE
An Industrial Grade Federated Learning Framework
⭐ 6,100
adversarial-robustness-toolbox