T08 · Insecure Dependencies
- Location
SKILL.md:49- Finding
Unpinned Third-Party Dependencies Permit Supply-Chain Risk
- Content
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Vulnerability Details
File Location:
SKILL.md:49andskill.json:7
Vulnerability Type: Unpinned third-party dependencies
Risk Level: MediumThe installation documentation and package metadata declare third-party dependencies without fixed versions or integrity hashes.
bash pip install akshare pandas numpyjson "dependencies": ["akshare", "pandas", "numpy"],Technical Analysis
The installation command allows the package manager to resolve the latest compatible releases of the listed packages and their transitive dependencies from the configured package index. The project does not provide a lockfile, exact version constraints, package hashes, or a trusted repository configuration.
Consequently, the code installed by this command can change without any modification to the audited project. If a listed dependency or one of its transitive dependencies is compromised, taken over, or replaced through package-index or dependency-confusion attacks, malicious installation hooks or imported module code could execute in the user's environment.
The reviewed project does not itself contain malicious dependency code. Exploitation therefore depends on compromise or manipulation of the external package supply chain.
Attack Path
- An attacker compromises a declared package, one of its transitive dependencies, or the package source used by the victim.
- The attacker publishes a malicious release that satisfies unconstrained dependency resolution.
- A user follows the documented
pip install akshare pandas numpycommand. - The package manager selects and downloads the attacker-controlled release.
- Malicious package installation logic or module initialization code executes with the privileges of the user or automation account performing installation.
- The attacker may access data and resources available to that account or modify the affected Python environment.
Impact Assessment
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- Remediation
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Remediation Suggestions
- Pin every direct dependency to a reviewed exact version, for example using
package==version. - Generate and commit a lockfile that records all transitive dependency versions.
- Require cryptographic hashes during installation, such as with a hash-locked requirements file and
pip install --require-hashes. - Install packages only from an explicitly configured and trusted package index or internal artifact repository.
- Add automated dependency vulnerability, provenance, and license scanning to the release process.
- Review and update dependency pins through a controlled process rather than resolving mutable latest releases during deployment.
- Install and execute the skill in an isolated, least-privileged virtual environment or container without unnecessary credentials or filesystem access.
- Keep
skill.json, installation documentation, and the lockfile synchronized so consumers cannot bypass the secured dependency specification.
- Pin every direct dependency to a reviewed exact version, for example using