T08 · Insecure Dependencies
Warning
- Location
requirements.txt:1- Finding
Unnecessary Standard-Library Packages and Unbounded Dependency Versions
- Content
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=2.31.0 aiohttp>=3.9.0 asyncio dataclasses pyyaml>=6.0.1 jinja2>=3.1.2 psutil>=5.9.6 pytest>=7.4.0 pytest-asyncio>=0.21.0 statistics matplotlib>=3.8.0 numpy>=1.24.0 ``` ### Technical Analysis The manifest instructs pip to install `asyncio`, `dataclasses`, and `statistics`, although these names correspond to Python standard-library modules on supported Python versions. Installing similarly named distributions from PyPI is unnecessary and increases exposure to dependency confusion, package-name abuse, module shadowing, and installation-time package code. All third-party dependencies also use open-ended lower bounds such as `requests>=2.31.0`. Consequently, two installations performed at different times can resolve to different package versions. A future compromised or incompatible release satisfying the lower bound could be installed without any change to this repository. No direct evidence establishes that the currently resolved packages are malicious. The vulnerability is the avoidable and insufficiently controlled supply-chain exposure created by the dependency manifest. ### Attack Path 1. A user follows the documented installation command, `pip install -r requirements.txt`. 2. Pip queries the configured package index for every listed distribution, including the unnecessary standard-library names. 3. Pip selects any available release satisfying each lower-bound constraint. 4. If an unnecessary package or a future dependency release is compromised, malicious installation hooks or imported code can execute in the Python environment. 5. Such code runs with the privileges of the user performing the installation or executing the toolkit. ### Impact Assessment Successful exploitation could execute arbitr ...[truncated 480 chars]- Remediation
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