T08 · Insecure Dependencies
- Location
SKILL.md:108- Finding
Unpinned Third-Party Dependencies Permit Supply-Chain Code Execution
- Content
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Vulnerability Details
File Location:
SKILL.md:108-112
Vulnerability Type: Unpinned third-party dependency installation
Risk Level: MediumVulnerable Code
markdown ## Dependencies ```bash pip install akshare pywencai pandas numpy scipytext ### Technical Analysis The installation instructions retrieve mutable, unpinned versions of five third-party packages. No lock file, exact version constraints, package hashes, or trusted package-index configuration is provided. Python packages can execute code during installation and whenever imported. Consequently, a compromised future release, compromised package-maintainer account, dependency-confusion package, or malicious package-index response could introduce arbitrary code after the Skill has already been audited. The effective code executed by users is therefore not limited to the reviewed project files. The named packages appear consistent with the Skill's stated purpose, and the audit found no evidence that they are currently malicious. The risk arises from the absence of reproducible and integrity-verified dependency resolution. ### Attack Path 1. An attacker compromises a listed package, one of its transitive dependencies, a maintainer account, or the package distribution channel. 2. The attacker publishes a malicious package version that remains compatible with the unconstrained installation command. 3. A user follows the documented `pip install` instruction. 4. `pip` resolves and installs the attacker-controlled release because no reviewed version or hash is required. 5. Malicious code executes during package installation or when the scripts import the package. 6. The payload operates with the same OS permissions and data access as the user running the installation or analysis. ### Impact Assessment Successful exploitation could provide arbitrary Python code execution under the invoking user's account. The resulting access could i ...[truncated 412 chars]- Remediation
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Remediation Suggestions
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Pin every direct dependency to a reviewed exact version.
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Generate a lock file that also fixes all transitive dependency versions.
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Record and enforce package hashes, for example through a requirements file used with
pip install --require-hashes. -
Install dependencies inside a dedicated virtual environment rather than the system Python environment.
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Explicitly configure an approved HTTPS package index and disable unintended extra indexes.
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Use automated dependency scanning and review updates before changing the lock file.
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Replace the current instruction with a reproducible command such as:
bash python -m venv .venv .venv/bin/python -m pip install --require-hashes -r requirements.lockProvide the corresponding Windows activation or interpreter path where necessary.
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