T08 · Insecure Dependencies
Warning
- Location
- scripts/generate_zib_nano_banana.sh:10
- Finding
- Runtime Installation of Unpinned Third-Party Dependencies## Vulnerability Details **File Location**: `scripts/generate_zib_nano_banana.sh`, lines 10–12 **Vulnerability Type**: Unpinned runtime dependencies **Risk Level**: Medium **Vulnerable Code**: ```sh if [ ! -x "$PY" ]; then python3 -m venv "$VENV_DIR" "$PY" -m pip install --quiet --disable-pip-version-check google-genai pillow fi ``` ### Technical Analysis The script automatically installs `google-genai` and `pillow` from the configured Python package index during normal execution. Neither package has a pinned version or an integrity hash. Therefore, the code ultimately executed by the Skill is mutable and cannot be fully established from the reviewed project files. If an upstream package, transitive dependency, or configured package index is compromised, malicious package code may execute during installation or subsequent import. The risk is amplified because installation occurs automatically whenever `./tmp/orf-venv/bin/python` is absent. This finding does not establish that the current packages are malicious; it identifies an avoidable supply-chain exposure caused by unconstrained runtime dependency resolution. ### Attack Path 1. An attacker compromises a relevant package release, transitive dependency, or package-index resolution path. 2. The local virtual environment is absent, deleted, or otherwise lacks an executable Python binary. 3. A user invokes `generate_zib_nano_banana.sh`. 4. `pip` resolves and downloads the latest packages available under the unpinned names. 5. Malicious package installation or import-time code executes with the privileges of the Agent process. 6. That code can access resources available to the process, potentially including local files, environment variables, configuration files, network access, and API credentials. ### Impact Assessment Successful supply-chain exploitation could provide arbitrary code execution under the operating-system identity running the Skill. The r ...[truncated 323 chars]
- Remediation
- ## Remediation Suggestions - Pin every direct dependency to a reviewed exact version. - Generate a lock file that also constrains transitive dependencies. - Require package hashes, such as with `pip install --require-hashes`. - Install dependencies during a controlled deployment or setup phase rather than automatically during ordinary Skill execution. - Use a trusted, access-controlled package index or vetted internal mirror. - Run dependency vulnerability and provenance checks in CI. - Execute the Skill with least privilege and restrict access to unrelated files, credentials, and network destinations. - Fail safely with clear setup instructions when dependencies are unavailable instead of downloading mutable code automatically.