A malicious Hugging Face repository posing as an OpenAI release delivered infostealer malware to Windows systems and logged 244,000 downloads before being removed, raising fresh concerns about how enterprises source and validate AI models from public repositories.
The repository, named Open-OSS/privacy-filter, impersonated OpenAI’s legitimate Privacy Filter release, copied its model card almost word-for-word, and included a malicious loader.py file that fetched and executed credential-stealing malware on Windows hosts, AI security firm HiddenLayer said in a research advisory.
“The repository reached the #1 trending position on Hugging Face with approximately 244K downloads and 667 likes in under 18 hours, numbers that were almost certainly artificially inflated to make the repository appear legitimate,” the advisory added.
The incident highlights growing concerns that public AI model registries are emerging as a new software supply-chain risk for enterprises, particularly as developers
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Decision made to grant US tech firm ‘unlimited access’ to data in project to build integrated platform, according to reports
UK politics live – latest updates
MPs have warned that an NHS decision to grant Palantir access to identifiable patient information in its plan to use AI to improve the health service is “dangerous” and will fuel public fears that data privacy is not being prioritised.
NHS England has allowed staff from the US tech firm and other contractors access to patient data before it has been pseudonymised, despite internal fears of a “risk of loss of public confidence”, the Financial Times reported.
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Researchers say generative AI is making it dramatically easier for people to file lawsuits, even as legal professionals are getting caught submitting hallucinated cases.
A new divide is emerging: between workers who use AI at work and those who are managed by it
The real danger that artificial intelligence poses to work is not just job loss – it is the growing divide between people who use AI to extend their skills and those whose working lives are increasingly shaped by opaque, AI-powered systems of surveillance and control.
The debate about artificial intelligence and how it will affect workers is stuck in the wrong place. On one side are warnings that machines are coming for millions of jobs. On the other are claims that AI will turbocharge productivity. Both stories miss what is already happening in workplaces across the world, from Britain to Kenya to the United States.
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