T08 · Insecure Dependencies
Warning
- Location
README.md:31- Finding
Unpinned Third-Party Dependencies Create a Supply-Chain Risk
- Content
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Vulnerability Details
File Location:
README.md, lines 31-35
Vulnerability Type: Unpinned and unverifiable third-party dependencies
Risk Level: MediumVulnerable Code
markdown ## Installation ```bash pip install akshare pandastext ### Technical Analysis The documented installation command retrieves the latest available releases of `akshare` and `pandas` without version constraints, integrity hashes, or a lock file. Consequently, the code installed and imported at runtime can change after the Skill has been reviewed. Python package installation may execute package-controlled build or installation logic. Runtime imports also execute package initialization code. Although no malicious dependency is embedded in the audited project, the absence of dependency pinning and integrity verification creates an avoidable supply-chain exposure. ### Attack Path 1. An attacker compromises a dependency release, its maintainer account, or the package distribution channel. 2. The attacker publishes a malicious or otherwise unsafe release under one of the expected package names. 3. A user follows the documented `pip install akshare pandas` command. 4. `pip` resolves the mutable latest release because no approved version or hash is specified. 5. Malicious code executes during package installation, package build, or subsequent import by the Skill. ### Impact Assessment Dependency-controlled code executes with the privileges of the user installing or running the Skill. A compromised package could therefore access files and environment variables available to that user, make network requests, modify project artifacts, or manipulate the financial-analysis results produced by the application. The scope is limited by the privileges and isolation of the Python environment. The project does not instruct users to install these packages with administrative privileges.- Remediation
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Remediation Suggestions
- Define exact, reviewed dependency versions in a requirements or lock file.
- Use hash verification, such as
pip install --require-hashes -r requirements.txt. - Generate reproducible lock data with an established dependency-management tool.
- Document the approved package index and disable unintended extra indexes to reduce dependency-confusion exposure.
- Regularly scan locked dependencies for known vulnerabilities and review updates before changing versions.
- Install and run the project in an isolated virtual environment or container with least-privilege filesystem and network access.