DeepSeek Conversation Exposure Vulnerability

A critical privacy vulnerability has been reported in which entering specific characters in DeepSeek can expose other users' conversations.

The core of the problem is that session isolation broke down. It is explained that in a structure where the server side shares and processes the context of multiple users, one user's input led to a response referencing another user's context.

This issue shows that the backend architecture of an AI chat service itself can become a security boundary.

• It contrasts Cursor as a locally-run tool with Verdent as a task-specific isolated workspace.
• Even local execution or isolated structures do not guarantee complete safety, but this highlights the risks of a shared server architecture.