GitHub's AI agent can be tricked into leaking private repos via a public Issue

Short summary

Noma Labs demonstrated that GitHub's new Agentic Workflows can be tricked via prompt injection in a public Issue to leak private repository contents. A crafted issue with hidden instructions caused the AI agent to fetch and publicly post README files from private repos across the organization. GitHub's guardrails were bypassed with a single keyword, highlighting that prompt injection is a structural vulnerability class requiring architectural defenses, not just pattern-matching filters.

• •GitHub Agentic Workflows vulnerable to prompt injection via public Issues
• •Hidden instructions in issue body caused agent to leak private repo contents
• •Defenders should scope agent permissions tightly and treat user input as untrusted

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