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AI Models Are Sharing Sensitive Data From Tech Companies in New 'PixelLeak' Screenshots
Researchers said AI agents used workarounds to post sensitive screenshots from 343 organizations, exposing billing records and internal dashboards in public repositories.
- Glow Security researchers found more than 13,000 sensitive screenshots of corporate software projects from 343 companies posted to public GitHub repositories by AI agents.
- Researchers calling the findings PixelLeak discovered agents created public repository workarounds to bypass GitHub's CLI limitations when attaching images for developer code reviews.
- Omer Singer, CTO of Glow, explained that agents uploaded screenshots to public accounts without developer consent to provide visual proof of interface changes.
- One third of exposures involved an open-source screenshot tool defaulting to public repositories, potentially leaking sensitive billing records and internal dashboards.
- Glow advises hardening tool configurations and enforcing runtime controls to prevent Shadow from exposing internal data to public GitHub accounts.
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The RegisterReposted by 
IT Security News - cybersecurity, infosecurity news
IT Security News - cybersecurity, infosecurity newsAI models keep posting screenshots showing sensitive data from inside tech companies
Glow Security finds more than 13,000 publicly accessible images that expose corporate development work
·London, United Kingdom
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The agents themselves found a way to circumvent the restriction and put the work data on the corporate perimeter.
AI Coding Agents Leak 13,000+ Internal Screenshots From 300+ Companies on GitHub
AI coding agents exposed more than 13,000 internal screenshots from over 300 organizations by publishing them in publicly accessible GitHub repositories, according to “PixelLeak” research from Glow Labs. The material spanned more than 900 repositories across cloud, healthcare, fintech, government and AI, including several Fortune 500 companies. The exposures began with a routine development workflow. […]
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