AI Coding Agents Exposed Internal Images and Data on Public GitHub Repos
AI-enabled attack4 Confirmed real-world lossData leak
AI coding assistants improperly published over 13,000 internal images and sensitive documents from hundreds of organizations to public GitHub repositories. The exposed data included customer billing records and unreleased product features.
Details
- type
- AI-enabled attackAttackers used AI as a meaningful part of a cyberattack against someone else.
- categories
- Data leakTraining data, chat logs, system prompts, model weights or other AI-system data exposed.
- Data leak
- owasp llm top 10
- mitre atlas
- no technique for these categoriesBoth rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
- severity
- 4 · Confirmed real-world lossFinancial loss, PHI/PII breach, safety impact or regulatory action.
- targets
- Enterprise deployment
- products
- GitHub, AI coding agents
- incident date
- 29 Sep 2026
- first reported
- 29 Sep 2026
- origin
- AI Incident DatabaseDerived from the AI Incident Database (CC BY-SA 4.0).
- classifier confidence
- 0.90 · published at or above 0.80; see the methodology
- tags
- data-leak · github · coding-agents
- record
- created 2026-10-18 06:33Z · updated 2026-10-18 06:59Z · json
Sources · 1
- 2026-09-29AI Coding Agents Reportedly Exposed Over 13,000 Internal Images from Hundreds of Organizations on Public GitHub Code RepositoriesAI Incident Database · incidentdatabase.ai/cite/1734
Titles and links belong to their publishers. The summary above is written by GCD AI RADAR in its own words; data is CC BY-SA 4.0.
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