Actions: Add experimental prompt injection queries for CWE 1427#21675
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Add detection for prompt injection vulnerabilities (CWE-1427) in GitHub Actions workflows that use AI inference actions. New queries: - PromptInjectionCritical.ql: Detects user-controlled data flowing into AI prompts in privileged contexts (severity 9.0) - PromptInjectionMedium.ql: Detects prompt injection on non-privileged but externally triggerable events like pull_request (severity 5.0) New library: - PromptInjectionQuery.qll: Taint tracking from remote flow sources to MaD-defined prompt-injection sinks MaD model (prompt_injection_sinks.model.yml): - 30+ AI actions including actions/ai-inference, anthropics/claude-code-action, google-github-actions/run-gemini-cli, warpdotdev/oz-agent-action, and others ControlChecks.qll: Add 'prompt-injection' to control check categories
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| experimental/Security/CWE-1427/PromptInjectionMedium.ql | |||
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Actions: Add experimental CWE-1427 prompt injection queries
Description
Adds detection for prompt injection vulnerabilities (CWE-1427) in GitHub Actions workflows that pass user-controlled data into AI inference action prompts.
As AI-powered GitHub Actions (e.g.
actions/ai-inference,anthropics/claude-code-action,google-github-actions/run-gemini-cli,warpdotdev/oz-agent-action) become more widely adopted in CI/CD workflows, attackers can craft malicious issue titles, PR bodies, comments, or branch names that get interpolated directly into AI prompts — potentially hijacking AI behavior to exfiltrate secrets, produce misleading output, or influence downstream automation.New queries
actions/prompt-injection/criticalissues,issue_comment,pull_request_review,repository_dispatch,workflow_run, etc.)actions/prompt-injection/mediumpull_request,pull_request_targetwith read permissions) not already caught by CriticalNew library and MaD models
PromptInjectionQuery.qll: Taint-tracking configuration fromRemoteFlowSourceto MaD-definedprompt-injectionsinks, with severity-tiered predicates for Critical vs Medium.prompt_injection_sinks.model.yml: 30+actionsSinkModelentries covering GitHub official AI actions, Anthropic, Google, OpenAI, Warp, and community AI actions from the GitHub Marketplace.ControlChecks.qll: Added"prompt-injection"to control check categories so existingActorCheck,AssociationCheck, etc. can suppress findings where appropriate.Variant analysis results
The queries were validated through MRVA across 479 CodeQL
actionsdatabases:pull_request_targetevents with read-only permissions (previously missed)AssociationCheck(author_association) andActorCheck(github.actor) control checksTest coverage
issues,issue_comment,repository_dispatch,pull_request,pull_request_review,pull_request_target,workflow_runevents across 4 different AI actions) and 4 safe (hardcoded prompts,pushevents, author_association checks, actor checks)References