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This article addresses a significant security vulnerability introduced by ChatGPT's new "Computer History" feature on macOS, which exposes unencrypted user activity logs to infostealers. The core issue lies in how the AI product manages persistent context via accessibility APIs without encrypting the intermediate data files before deletion. For AI and quantum readers, this highlights critical risks in deploying local LLM agents that process sensitive user telemetry, emphasizing the need for robust encryption standards in next-gen AI infrastructure.
Source coveringCybersecurity News
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

ChatGPT Computer History Feature Creates New Attack Surface for macOS Infostealers

Cybersecurity News4 min read

A new feature in ChatGPT now records your actions on your Mac, creating a detailed, plain-text diary of your work. This unencrypted log is vulnerable to cybercriminals, offering them an easy target. Released by OpenAI in mid-August 2026 and available only in the ChatGPT desktop app for macOS, the feature is called Computer History, and […] The post ChatGPT Computer History Feature Creates New Attack Surface for macOS Infostealers appeared first on Cyber Security News.

A new feature in ChatGPT now records your actions on your Mac, creating a detailed, plain-text diary of your work. This unencrypted log is vulnerable to cybercriminals, offering them an easy target. Released by OpenAI in mid-August 2026 and available only in the ChatGPT desktop app for macOS, the feature is called Computer History, and security researchers warn that it materially widens the attack surface for the wave of macOS infostealers currently flooding the threat landscape. Computer History is designed to…

Excerpt shown under the publisher's RSS terms · 81 words · full text and figures are on the publisher's site

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