T08 · Insecure Dependencies
- Location
scripts/generate_image.py:2- Finding
Unpinned Runtime Dependencies Create a Supply-Chain Execution Risk
- Content
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=3.10" # dependencies = [ # "google-genai>=1.0.0", # "pillow>=10.0.0", # ] # /// ``` The documented invocation causes `uv` to resolve these dependencies: ```bash uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 1K|2K|4K] [--api-key KEY] ``` ### Technical Analysis The dependency declarations use unrestricted minimum-version constraints rather than exact, reviewed versions. The project contains no lockfile or package hashes. Consequently, `uv run` may download and execute a future dependency release that was not present during this audit. Python packages can execute code during installation, import, or normal API use. If a permitted future version of `google-genai` or `pillow`, or an artifact in its transitive dependency graph, is compromised, that code would execute with the privileges of the user running the Skill. The package names are consistent with the declared image-generation functionality, and no currently embedded malicious dependency was identified. The vulnerability is the absence of reproducible, integrity-verified dependency resolution. ### Attack Path 1. An attacker compromises a future release of an allowed package or one of its transitive dependencies. 2. The malicious release still satisfies `google-genai>=1.0.0` or `pillow>=10.0.0`. 3. A user invokes the documented `uv run` command in an environment without a previously locked dependency set. 4. `uv` resolves and installs the compromised release. 5. Malicious code executes during installation, import, or package use. 6. The dependency code can access resources available to the Skill process ...[truncated 592 chars]- Remediation
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", # "pillow==", # ] ``` The exact versions should be selected through testing and security review rather than inferred from this audit. ]]>
