Researcher Shows How Claude Can Be Tricked Into Revealing a User's Personal Data

Translated by a model; the original is in Russian.

· Security
The author of a blog post described a method he used to trick the AI assistant Claude into revealing confidential information stored in its memory. The publication sparked a lively discussion on Hacker News.

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The author of a technical blog published a piece titled “I tricked Claude into leaking your deepest, darkest secrets,” in which he describes how he managed to trick the AI assistant Claude into revealing sensitive information held in the system's memory.

At issue is the memory feature, which lets the assistant retain information about the user across sessions in order to personalize its responses. According to the author, this feature can be used to extract data that the user never intended to disclose.

The publication quickly gained traction on Hacker News, collecting 226 points and 97 comments — a sign of the community's marked interest in the security of AI assistants and the risks associated with the long-term storage of personal data in such systems.

Cases in which researchers find ways to bypass the safeguards of large language models and extract restricted information from them have been surfacing regularly of late. They raise questions about how robust the memory and context mechanisms of modern AI assistants really are and what privacy guarantees they actually provide to users.

The details of the specific technique used in the piece, as well as Anthropic's reaction to the publication, have not yet been disclosed in the available description of the news.


Source: Hacker News

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