T08 · Insecure Dependencies
- Location
SKILL.md:80- Finding
Unpinned Third-Party Dependencies Installed from an Uncontrolled Package Index
- Content
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Vulnerability Details
File Location:
SKILL.md, lines 80 and 94
Vulnerability Type: Unpinned and unverifiable third-party dependencies
Risk Level: MediumVulnerable Code
bash pip3 install Pillow numpy python-docxbash pip3 install reportlabTechnical Analysis
The installation instructions retrieve third-party packages without version constraints, cryptographic hashes, a lock file, or an explicitly trusted package index. Package versions and their transitive dependencies can therefore change independently of the reviewed Skill.
When an operator follows these instructions, pip resolves mutable package artifacts from its configured index. A compromised package release, compromised package index, dependency-confusion condition, or malicious transitive dependency could introduce code that was not included in this audit. Python packages can execute code during installation and subsequently when imported by
scripts/slice_processor.pyorscripts/create_pdf.py.The audited scripts import these dependencies directly:
PillowthroughPILnumpypython-docxthroughdocxreportlab
This finding does not establish that any currently published dependency is malicious. The vulnerability is the absence of controls ensuring that future installations use the exact reviewed artifacts.
Attack Path
- An attacker compromises a named dependency, one of its transitive dependencies, or a package source configured for pip.
- The Agent or operator follows the dependency installation commands in
SKILL.md. - pip resolves and downloads the attacker-controlled or compromised artifact because no reviewed version or hash is required.
- Malicious package code executes during installation or when one of the scripts imports the package.
- The payload runs with the privileges of the Agent user and can access resources available to that account.
Impact Assessment
Successful exploitation could allow arbitrary cod ...[truncated 661 chars]
- Remediation
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Remediation Suggestions
- Create a reviewed dependency file containing exact versions for all direct and transitive dependencies.
- Generate and record cryptographic hashes for every accepted distribution artifact.
- Install dependencies with hash verification:
bash python3 -m pip install --require-hashes -r requirements.txt- Configure pip to use an explicitly trusted package index or an internally controlled artifact repository.
- Prefer an isolated virtual environment rather than installing packages into the Agent's global Python environment.
- Review dependency updates before changing pinned versions and regenerate hashes only after validation.
- Add automated dependency vulnerability and provenance checks to the release process.
- Avoid running package installation as root or with administrative privileges.