T08 · Insecure Dependencies
Warning
- Location
package.json:10- Finding
Unbounded and Incorrect-Ecosystem Package Dependencies
- Content
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=1.3.0", "numpy": ">=1.21.0" } ``` ### Technical Analysis The project is implemented in Python, but its Python library names are declared as npm dependencies. This causes npm to resolve packages named `pandas` and `numpy` from the npm registry rather than installing the Python libraries used by `dual_strategy_selector.py`. Both dependency constraints are open-ended lower bounds. The project also contains no package lockfile, so separate installations may resolve different package versions. This unnecessarily exposes users to mutable npm packages that are not required to execute the Python application. If one of these npm packages or a transitive dependency is compromised, transferred to a malicious maintainer, or publishes a malicious version satisfying the open-ended constraint, npm may download it during installation. npm lifecycle scripts can execute automatically under ordinary installation configurations. ### Attack Path 1. An attacker gains control of one of the named npm packages, compromises its publishing credentials, or compromises a transitive dependency. 2. The attacker publishes a malicious version that satisfies `>=1.3.0` or `>=1.21.0`. 3. A user runs `npm install` in the project directory. 4. Because there is no lockfile or upper version bound, npm resolves the attacker-controlled release. 5. Malicious package code or an npm lifecycle script executes with the privileges of the user running npm. This path depends on compromise or malicious modification of an upstream npm package; the audited repository itself does not contain a malicious installation script. ### Impact Assessment Successful exploitation could execute arbitrary code with the privileges of the user performing installation. Depending on those p ...[truncated 708 chars]- Remediation
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numpy== ``` 3. Generate and commit a Python dependency lockfile using a tool such as `pip-tools`, Poetry, or uv. 4. Where supported, verify downloaded artifacts with hashes, such as through `pip install --require-hashes`. 5. Remove `package.json` entirely if npm is not an intended installation or execution interface. Otherwise, ensure its scripts invoke a controlled Python environment and do not duplicate Python dependencies in the npm registry. 6. Add automated dependency scanning and periodically update pinned versions after security review and compatibility testing. ]]>