T08 · Insecure Dependencies
- Location
SKILL.md:413- Finding
Unpinned Third-Party Dependency Installation
- Content
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Vulnerability Details
File Location:
SKILL.md, line 413
Vulnerability Type: Unpinned Python dependency installation
Risk Level: LowVulnerable Code Snippet:
markdown | NumPy | Python 库 | 可选 | `pip install numpy` (矩阵运算) |Technical Analysis
The documented command installs NumPy without a version constraint or cryptographic integrity verification. Consequently, the artifact installed at execution time may differ from the version that was reviewed or tested.
Although the instruction refers to a legitimate and widely used package, an unpinned installation remains exposed to upstream compromise, a malicious or defective future release, package-index manipulation, and unexpected compatibility changes. Python package installation can execute package build or installation logic when a suitable prebuilt wheel is unavailable.
No evidence was found that the project intentionally references a malicious package or package index. The risk arises from the absence of version and integrity controls rather than from confirmed malicious dependency content.
Attack Path
- A user or agent follows the dependency instruction in
SKILL.md. - The command
pip install numpyresolves the package dynamically from the configured Python package index. - The index supplies whichever release currently satisfies the unconstrained request.
- If that release or the package distribution channel has been compromised, malicious installation logic or package content is downloaded.
- The package is installed or its build hooks execute with the permissions of the invoking user or agent.
- Malicious code could then access resources available to that account.
This exploitation path depends on compromise or manipulation of the upstream package, distribution channel, or local package-index configuration.
Impact Assessment
Successful exploitation could execute arbitrary code with the privileges of the proces ...[truncated 280 chars]
- A user or agent follows the dependency instruction in
- Remediation
View remediation
Remediation Suggestions
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Pin NumPy to a reviewed, compatible version instead of installing an unconstrained release.
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Record cryptographic hashes in a locked requirements file and install with
pip --require-hashes. -
Use an explicitly trusted package index and require TLS certificate validation.
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Install dependencies inside a dedicated virtual environment or isolated container.
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Run package installation without administrative privileges.
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Periodically review and deliberately update the pinned version after security and compatibility testing.
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Prefer a command such as the following, backed by a reviewed lock file:
bash python -m pip install --require-hashes -r requirements.txt
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