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ChatGPT’s new feature could give infostealers a map of your Mac activity

OpenAI's Computer History feature for macOS ChatGPT logs app and website activity into memories, raising prompt injection and infostealer privacy risks.

OpenAI's Computer History builds timelines of Mac activity from interaction events and macOS accessibility data, turning them into memories for ChatGPT and Codex. The feature is opt-in, requires Memories, runs only in the ChatGPT macOS desktop app, and is unavailable in the EEA, Switzerland, and the UK. Raw event files stay on-device and are deleted after 48 hours, but generated Markdown memory files are unencrypted and persist until manually deleted. OpenAI itself flagged unencrypted files and prompt injection risks, and security experts warned infostealers could use the logs as a ready-made map of someone's workday.

Help Net SecurityAug 19, 00:00 UTC · 29d agoAI safety & security

Luciferus Uncensored AI Service Lets Cybercriminals Generate RAT Malware

Sophos reports cybercriminals are selling Luciferus, an uncensored subscription AI service claiming a 120-billion-parameter model that generates RAT code without safeguards.

Sophos Counter Threat Unit observed a user named Optimus_Prime advertising the Luciferus uncensored AI service on August 24, claiming a proprietary 120-billion-parameter model offering unrestricted coding assistance, with tiers priced at $35, $55, and $75. The public website shows different pricing ($22 to $47.14), and Sophos speculates with low confidence the service may be based on Alibaba's Qwen rather than a truly proprietary model. Researchers documented the Junior tier generating a basic Python RAT with network communication and command-execution functionality, though the code was not tested. The service follows the commercialization trend of WormGPT and FraudGPT in cybercriminal ecosystems.

GBHackersSep 16, 05:23 UTC · 1d agoAI safety & security1

[AINews] AEF-1 standard emerges for Third Party Evaluators, as Xai, OpenAI, and Anthropic all cosign

xAI, OpenAI, and Anthropic cosign the AEF-1 third-party evaluation standard while Dario Amodei proposes embedded evaluators for safety verification.

The AI Evaluator Forum published AEF-1, a baseline standard for independent third-party AI evaluations covering access, conflicts of interest, funding relationships, recusal, and transparency, cosigned by xAI, OpenAI, and Anthropic. Dario Amodei wrote a rare personal blogpost proposing embedded evaluators such as METR with desks, badges, company laptops, and internal-risk-team-level access to verify safety commitments, plus democratic and global coordination frameworks. The roundup also covers the pacing debate: Bilal Chughtai left Google DeepMind arguing progress may outrun alignment, while critics including Aidan Gomez and Cohere push back against slowdowns and lab gatekeeping. Additional items include Cline Desktop's launch with open-weight model support.

Latent SpaceSep 15, 04:50 UTC · 2d agoAI safety & security