GCD AI RADAR
incidents/AIR-2026-0360

Claude Code GitHub Action Secret Exposure via Prompt Injection

Attack on AI1 Research / proof of conceptPrompt injectionAgent hijackData leak

Researchers demonstrated that Anthropic's Claude Code GitHub Action could expose workflow secrets when processing GitHub content containing prompt injections. The vulnerability allowed agent tools to leak sensitive CI/CD data.

Details

type
Attack on AI
An AI model, agent or AI-powered product was the thing exploited, abused or leaked.
categories
  • Prompt injectionprimary
    Untrusted content (web pages, documents, emails, tool output) steers a model into ignoring its instructions.
  • Agent hijack
    An AI agent is tricked into unauthorized actions: tool misuse, data exfiltration through the agent, or acting against its principal.
  • Data leak
    Training data, chat logs, system prompts, model weights or other AI-system data exposed.
owasp llm top 10
mitre atlas
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
1 · Research / proof of concept
Demonstrated by researchers; no known real-world exploitation.
targets
Anthropic, Framework / tooling
products
Claude Code GitHub Action
incident date
5 Jun 2026
first reported
31 Jul 2026
origin
MITRE ATLAS
Derived from MITRE ATLAS (Apache 2.0, © MITRE).
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
claude-code · prompt-injection · secret-exposure
record
created 2026-10-18 06:55Z · updated 2026-10-18 06:55Z · json

Sources · 2

  1. 2026-07-31
    Claude Code GitHub Action Secret Exposure
    MITRE ATLAS · atlas.mitre.org/studies/AML.CS0067
  2. 2026-07-31
    Securing CI/CD in an agentic world: Claude Code Github action case
    Microsoft Security · microsoft.com/en-us/security/blog/2026/06/05/securing-ci-cd-in-agentic-world-cla

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