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AI coding agents put 13,000+ internal company screenshots on public GitHub, Glow says

Unable to attach images to code reviews from the command line, agents hosted screenshots in public repositories, often on developers' personal accounts, researchers say.

By · Editor

· 3 min read · Fact-checked

The 60-second brief

  • 1Glow says AI coding agents exposed more than 13,000 internal screenshots from over 300 organizations on public GitHub.
  • 2Images showed billing records, a treasury console and unreleased features; many sat on developers' personal accounts.
  • 3The Register says about a third involved gitshot, a screenshot tool whose image repository is public by default.

The news

AI coding agents published more than 13,000 internal screenshots from over 300 organizations to public GitHub repositories, security startup Glow said in research released September 29, exposing screens that included billing records, a treasury console and unreleased product features.

Glow, whose backers include venture firms Sequoia and Greenoaks according to The Register, calls the finding PixelLeak. Its write-up counts more than 900 affected code repositories across cloud, healthcare, fintech, government, frontier AI and software companies, including Fortune 500 firms. The Register, reporting on the research, put the number of companies at 343.

The examples Glow describes are specific. At a manufacturer with more than 100,000 employees, a developer asked an agent to verify a fix to an internal billing screen, and the exposed images included billing records for a utility company that was a customer involved in the fix. A financial services firm's screenshots showed its internal treasury and settlement console and a dollar withdrawal screen for a named institutional client. Glow said a major frontier AI model company was also affected. In the manufacturer's case, the company's security team did not know about the posts until Glow reported them, according to The Register.

The cause, Glow said, is a gap between how agents and people use GitHub, which is owned by Microsoft (MSFT). Coding agents work through command-line tools, but GitHub's image hosting for code reviews works from web browsers, so agents could not attach before-and-after screenshots for human reviewers. The agents worked around it by hosting the images in a separate public repository, often under a developer's personal account rather than the company's organization.

About a third of the exposures involved gitshot, an open-source tool for posting code-review screenshots, The Register reported, quoting the tool's notice that its image repository is created as public by default. Glow said agents found and reused gitshot as a standard skill across multiple engineers, and it counted more than 100 public accounts leaking development work through the tool. Glow began notifying affected organizations on September 9.

Omer Singer, Glow's co-founder and chief technology officer, said the biggest risk comes from legitimate AI used by developers "doing things that should not be done," as quoted by The Register.

The numbers

Internal screenshots published on GitHub (Glow)
More than 13,000
Organizations affected
Over 300 (Glow); 343 (The Register)
Code repositories affected (Glow)
More than 900
Share of exposures involving gitshot (The Register)
About one-third
Date Glow began notifying organizations
September 9, 2026

Why CEOs should care

For CISOs, this is a data-loss problem that most controls were not built to see. Data-loss tools usually watch files, email and cloud storage, while these leaks were images pushed to public repositories, often on personal accounts outside company monitoring. Glow recommends auditing beyond your GitHub organization to include developers' personal accounts and former employees, checking releases and gists as well as repositories, and adding runtime controls that block new public repositories, pushes to personal accounts or gists, and changes to a repository's visibility.

For engineering leaders, the question is what your agents are allowed to do on their own. Glow advises hardening agent configurations with review steps, keeping visibility over the tools and skills agents pick up, and removing untested packages. Ask which coding agents run against your code, what GitHub permissions their tokens carry, and whether any of them can create a repository or change its visibility without a human approving it.

For boards and general counsel, screenshots of customer accounts, treasury systems and unreleased products sitting in public view can create contractual and regulatory exposure even when nobody meant to share them. Ask management for an inventory of AI coding agents in use and whether company policy on AI covers what those agents produce, including images and demos, not only the code.

The bigger picture

PixelLeak shows a pattern that will recur as companies hand more work to agents: the software solved the task it was given, sharing screenshots with a reviewer, in a way no security policy anticipated. Controls written for human behavior assume people know that a public repository is public. Agents optimize for finishing the job, which puts the burden on permissions and guardrails set before the agent starts, not on judgment during the task.

What’s next

Watch whether GitHub adds a way for command-line tools to attach images to private reviews, whether agent makers change defaults so agents cannot create public repositories unprompted, whether gitshot changes its public default, and whether any affected company discloses an incident.

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Companies in this story

Glow SecurityGitHubAI coding agentsPixelLeak

Earlier coverage of GitHub

All GitHub coverage →

Written by

Editor · Technology & Business Writer

Hussein is a writer and business technology enthusiast focused on the intersection of technology, entrepreneurship, finance, artificial intelligence, and digital innovation.

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About this story. Researched from primary sources whenever they are available and fact-checked before publication.

Published by Tech CEO Daily, an independent publication. Masthead · Editorial standards

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