## GitHub Copilot Prompt Leak: Interactive Cybersecurity Simulation Prototype Details SOC Attack Scenario
A detailed GitHub Copilot prompt, intended for building a private cybersecurity training simulation, has been publicly exposed in a GitHub repository. The prompt outlines the technical specifications for a four-page interactive prototype designed to demonstrate a chained attack against a corporate HR system. The scenario explicitly details exploiting the OWASP Top 10 vulnerabilities "Broken Object Level Authorization" (API1:2023) and "Broken Access Control" (A01:2025), providing a potential blueprint for malicious actors.

The prompt, posted as a work-in-progress (WIP) pull request, contains the complete technical architecture for the simulation. It specifies the creation of four HTML files (`index.html`, `attacker.html`, `webapp.html`, `soc.html`) that sync in real-time using a `localStorage` event bus. The code is structured with an `AI_MODE = 'dummy'` flag, indicating it is pre-configured for integration with the GitHub Copilot API (`api.githubcopilot.com`). The simulation includes a global attack timer and uses specific `localStorage` keys—such as `attack_stage` and `attack_events`—to track the progression of the exploit chain from initial access to data compromise.

This exposure raises immediate security and operational risks. While intended for a Security Operations Center (SOC) bootcamp, the public availability of such a detailed attack simulation—complete with code structure and vulnerability mapping—could lower the barrier for threat actors looking to understand or replicate similar exploit chains. The incident highlights the persistent insider risk of sensitive training materials, architectural details, or proof-of-concept code being inadvertently committed to public version control systems, turning defensive tools into potential offensive references.
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- **Source**: GitHub Issues
- **Sector**: The Lab
- **Tags**: Cybersecurity, Data Leak, OWASP, GitHub, AI
- **Credibility**: unverified
- **Published**: 2026-03-30 04:27:05
- **ID**: 40445
- **URL**: https://whisperx.ai/en/intel/40445