T08 · Insecure Dependencies
Warning
- Location
- SKILL.md:63
- Finding
- Unpinned and Unnecessarily Broad Third-Party Dependency Installation## Vulnerability Details **File Location**: `SKILL.md`, lines 63-66 **Vulnerability Type**: Unpinned and excessive third-party dependencies **Risk Level**: Medium ### Vulnerable Code ```bash pip install pandas numpy matplotlib seaborn plotly scipy scikit-learn yfinance plaid-python python-dotenv ``` ### Technical Analysis The documented installation command retrieves packages without exact version constraints, package hashes, or a lockfile. Consequently, the code installed by users may change over time without any corresponding change to the reviewed Skill package. Several listed packages—`plotly`, `scipy`, `scikit-learn`, `yfinance`, `plaid-python`, and `python-dotenv`—are not imported by `scripts/financial_analyzer.py`. In addition, `numpy` and `seaborn` are imported but not used by the implementation. The unnecessary packages, particularly network-capable financial API clients such as `yfinance` and `plaid-python`, expand the dependency and transitive-dependency attack surface beyond the requirements of the supplied local financial analyzer. Package installation can execute package build or setup logic. If a direct or transitive dependency is compromised, an affected release could execute attacker-controlled code during installation or later import. No evidence shows that the named packages are currently malicious; the vulnerability is the mutable, unverified, and unnecessarily broad dependency installation process. ### Attack Path 1. A user follows the installation instructions in `SKILL.md`. 2. `pip` resolves the latest package versions and their transitive dependencies from the configured package index. 3. A direct or transitive dependency has been compromised, maliciously replaced, or publishes a newly unsafe release. 4. The malicious package executes attacker-controlled build, installation, or import-time code. 5. The payload runs with the privileges of the user performing the installation and can access resource ...[truncated 628 chars]
- Remediation
- ## Remediation Suggestions 1. Create a minimal dependency manifest containing only libraries required by `scripts/financial_analyzer.py`. 2. Remove unused dependencies and imports. Keep optional API integrations in separately documented extras rather than installing them by default. 3. Pin every direct and transitive dependency to a reviewed version. 4. Generate and verify cryptographic hashes for all distributions, then install with a command such as: ```bash pip install --require-hashes -r requirements.txt ``` 5. Use a reproducible lockfile generated by an established dependency-management tool. 6. Recommend installation inside a dedicated virtual environment without administrator privileges. 7. Add automated dependency vulnerability scanning and scheduled review of pinned versions. 8. Configure trusted package indexes explicitly where appropriate and prevent fallback to unreviewed package sources.