AI Signal 510
GitHub Copilot Autofix introduced script injection vulnerability that exposed Snowflake Jira credentials
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An AI-generated commit from GitHub Copilot Autofix replaced a safe input sanitization pattern with direct string interpolation in a GitHub Actions workflow, creating a script injection vector that allowed unauthenticated command execution and credential exfiltration from Snowflake's Jira instance.
This is a concrete case where an AI coding assistant introduced a security regression by removing an existing defense, and an autonomous AI security agent found and exploited it within days. The incident demonstrates that AI-generated code changes can introduce real vulnerabilities at speed, and that the attack surface of CI/CD workflows is expanding as AI tools gain write access to repositories.
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Copilot Autofix co-authored a commit that removed a safe env-variable-plus-jq pattern and replaced it with direct ${{ github.event.issue.title }} interpolation inside a shell script, enabling injection via crafted issue titles.
Wiz's Red Agent autonomously discovered the vulnerability, then adapted its exploit after an initial syntax error to successfully exfiltrate Jira API tokens from the GitHub Actions runner.
Snowflake patched the vulnerability and rotated credentials on the same day Wiz disclosed it, and audit logs confirmed no unauthorized access beyond the proof-of-concept.
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