Caveat verdict

ai-image-cli

88
๐ŸŸข Trusted
No high-risk patterns surfaced by the deep scan โ€” automated capability review, not behavioral proof.

An image generation CLI using the AIGW API with user-configured credentials (LANGBASE_TOKEN or ARK_API_KEY); executionSinkDetected=true reflects documented bash commands for image generation and environment setup that are fully consistent with the stated text-to-image and image-to-image purpose.

โš  Flagged for review โ€” coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.

Automated static analysis โ€” not a human review. Caveat flags capabilities, not confirmed intent, and can produce false positives. Disagree with this verdict? Use Dispute below.

15
security
50
transparency
90
maintenance

Permission integrity

Code accesses API keys/tokens but declares no environment variables

credential_access

Findings (3)

Pattern match critical

Possible hardcoded credential

references/examples.md ยท code ยท TOKEN='appId.appKey

Pattern match high

Pipe to python โ€” executes piped content as Python code

references/cli-reference.md ยท prose ยท downgraded ยท | Python

Pattern match high

subprocess execution โ€” runs system commands from Python

references/examples.md ยท code ยท subprocess.run(

Why the tier is capped

Execution sink present in raw bytes (Hard Floor: class B/D). Final tier capped at Caution โ€” cannot be lifted by any downgrade, example-payload opt-in, or allowlist.

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

credential_access

Is this flag fair?

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