T08 · Insecure Dependencies
Warning
- Location
- package.json:32
- Finding
- Unpinned and Inconsistently Declared Third-Party Dependency<![CDATA[ ## Vulnerability Details **File Location**: `package.json:32-34`; `SKILL.md:117-120` **Vulnerability Type**: Supply-chain risk caused by an unpinned Python dependency and a package-manager mismatch **Risk Level**: Medium ### Vulnerable Code `package.json:32-34`: ```json "dependencies": { "requests": "^2.28.0" } ``` `SKILL.md:117-120`: ```bash ### 安装依赖 ```bash pip3 install requests ``` ``` ### Technical Analysis The executable in `tools/finance_data.py` imports the Python `requests` library, but the dependency is declared under the npm `dependencies` field in `package.json`. npm and Python package indexes are separate ecosystems, so an npm package named `requests` is not the Python library imported by the script. Automated tooling that processes `package.json` may therefore resolve or attempt to resolve an unrelated package. The documented Python installation command also installs `requests` without a fixed version, lockfile, or integrity hash. Its result can change over time and is not reproducible. If a compromised or otherwise unsafe release is selected, its installation or imported runtime code would execute in the user's Python environment. This issue does not demonstrate that the currently named packages are malicious. The vulnerability is the unsafe and inconsistent dependency resolution process, which creates an avoidable supply-chain attack surface. ### Attack Path 1. A user or automated deployment system installs the project dependencies. 2. If it processes `package.json`, npm attempts to resolve the package named `requests` from the npm registry rather than installing the required Python library. 3. Alternatively, the user follows the documentation and runs `pip3 install requests` without a version pin or hash. 4. The package manager retrieves whatever release satisfies the uncontrolled declaration at installation time. 5. If the resolved package or release is compromised, attacker-controlled installation hooks or library code ex ...[truncated 1076 chars]
- Remediation
- <![CDATA[ ## Remediation Suggestions 1. Remove the Python dependency from the npm dependency section: ```json { "dependencies": {} } ``` If Node.js is not used by the project, remove the `dependencies` field entirely and avoid using npm as the dependency installer. 2. Declare Python dependencies in a dedicated `requirements.txt` or `pyproject.toml`. Pin the dependency to a reviewed version, for example: ```text requests==<reviewed-version> ``` 3. Generate and retain hashes for reproducible installation where practical: ```text requests==<reviewed-version> \ --hash=sha256:<verified-package-hash> ``` Install with hash enforcement: ```bash python3 -m pip install --require-hashes -r requirements.txt ``` 4. Use a dependency lock workflow such as `pip-tools`, Poetry, or uv so direct and transitive dependencies are fixed and reviewable. 5. Update `SKILL.md` to instruct users to install from the reviewed dependency file: ```bash python3 -m pip install -r requirements.txt ``` 6. Configure installation to use the official or an organization-approved Python package index over HTTPS. Review dependency provenance and run automated vulnerability scanning before updating locked versions. ]]>