T08 · Insecure Dependencies
Warning
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requirements.txt:4- Finding
Unverified and Mutably Resolved Third-Party Dependencies
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=2.2,<3.0 numpy>=1.26,<3.0 matplotlib>=3.8,<4.0 seaborn>=0.13,<1.0 ``` `README.md:52-59`: ```markdown 1. **Clone this repository**: ```bash git clone https://github.com/drdaviddelorenzo/nutrigenomics.git cd nutrigenomics ``` 2. **Install dependencies**: ```bash pip install -r requirements.txt ``` `repro_bundle.py:25-34`: ```python CONDA_ENV = """name: nutrigenomics channels: - conda-forge - defaults dependencies: - python=3.11 - pandas>=2.2,<3.0 - numpy>=1.26,<3.0 - matplotlib>=3.8,<4.0 - seaborn>=0.13,<1.0 """ ``` `repro_bundle.py:101-103`: ```python 1. Install the conda environment: conda env create -f environment.yml conda activate nutrigenomics ``` `openclaw.json:91-98`: ```json "packages": [ "pandas>=2.2,<3.0", "numpy>=1.26,<3.0", "matplotlib>=3.8,<4.0", "seaborn>=0.13,<1.0" ] ``` ### Technical Analysis The installation workflows allow pip or Conda to select any package release satisfying broad version ranges. The project does not provide cryptographic artifact hashes, exact package builds, or a reviewed lock file. Consequently, the dependency artifacts installed in the future may differ from those reviewed during this audit. The generated Conda environment also mixes the `conda-forge` and `defaults` channels without declaring strict channel priority or exact builds. This increases the variability of dependency resolution and may expose users to channel-priority or dependency-confusion scenarios. The listed packages are established packages from conventional repositories, and the re ...[truncated 2343 chars]- Remediation
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