T08 · Insecure Dependencies
- Location
scripts/maxwell_post_processor.py:7- Finding
Unpinned Third-Party Dependency Installation
- Content
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Vulnerability Details
File Location:
scripts/maxwell_post_processor.py:7
Vulnerability Type: Unpinned third-party dependencies
Risk Level: LowComplete Code Snippet:
python 依赖： pip install numpy matplotlib pandas scipy （无需 Maxwell 软件，仅用于结果后处理）Technical Analysis
The script instructs users to install four third-party packages without version constraints, cryptographic hashes, a lockfile, or an explicitly trusted package index. Consequently, package resolution depends on mutable content supplied by the user's configured Python package repository.
If an upstream package release, maintainer account, package index, or local pip index configuration is compromised, installation could introduce malicious package code. Python packages may execute build or installation logic during installation. The listed
pandasdependency is not imported by this script, so it unnecessarily expands the dependency and supply-chain attack surface.This finding does not demonstrate that any named package is currently malicious. The risk arises from installing mutable, unverified dependency versions.
Attack Path
- An attacker compromises an upstream package release, maintainer account, configured package index, or dependency resolved by one of the listed packages.
- A user follows the installation instruction:
bash pip install numpy matplotlib pandas scipy - Pip resolves and downloads the attacker-controlled or compromised package without enforcing an audited version or expected hash.
- Malicious build or installation code executes under the privileges of the user running pip.
- The installed package may execute again when imported by the post-processing script.
Impact Assessment
Successful exploitation could execute arbitrary code with the privileges of the user performing the installation or running the script. This may permit access to that us ...[truncated 436 chars]
- Remediation
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Remediation Suggestions
- Define only the dependencies actually required by the script and remove unused
pandas. - Pin dependencies to reviewed versions in a requirements or lock file.
- Generate and enforce cryptographic hashes, for example:
bash pip install --require-hashes -r requirements.txt - Use a controlled, trusted package index and explicitly configure the expected index URL in deployment documentation.
- Install dependencies in an isolated virtual environment without administrator or root privileges.
- Add automated dependency vulnerability and integrity scanning to the release process.
- Periodically update pinned versions through a reviewed and tested dependency-update workflow.
- Define only the dependencies actually required by the script and remove unused