T08 · Insecure Dependencies
- Location
SKILL.md:34- Finding
Unpinned Third-Party Python Dependencies
- Content
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Vulnerability Details
File Location:
SKILL.md, lines 34-39
Vulnerability Type: Unpinned third-party dependencies
Risk Level: Mediumtext uv pip install python-docx pdf2imagetext python3 -m pip install python-docx pdf2imageTechnical Analysis
The documented installation commands retrieve and install
python-docxandpdf2imagewithout version constraints, integrity hashes, or a repository lockfile. Consequently, the package versions and code installed can change over time, making installation non-reproducible.This creates supply-chain exposure if a dependency release or its distribution channel is compromised. An affected package could execute attacker-controlled code during installation or later when imported by
scripts/render_docx.py. Exploitation requires the user or agent to follow these dependency-installation instructions while the affected release is available through the configured package index.Attack Path
- An attacker compromises an upstream dependency release, maintainer account, or configured Python package index.
- The attacker publishes a malicious version of
python-docxorpdf2image. - A user or agent follows the installation command in
SKILL.md. - Because no version or hash is pinned, the package manager resolves and downloads the malicious release.
- Attacker-controlled code executes during package installation or when the rendering script imports the installed package.
Impact Assessment
Malicious dependency code would run with the privileges of the account performing the installation or invoking the rendering helper. It could potentially access files and credentials available to that account, alter generated documents or rendered output, execute local commands, or communicate over the network where permitted.
The practical scope is limited by the invoking account's operating-system permissions and any sandbox, container, or network restrictions. The audited project itself d ...[truncated 68 chars]
- Remediation
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Remediation Suggestions
- Pin each Python dependency to a reviewed, exact version.
- Maintain a lockfile generated by the selected dependency-management tool.
- Require cryptographic hashes for downloaded distributions, such as through a hash-locked requirements file.
- Install dependencies into a dedicated virtual environment rather than the system Python environment.
- Use a trusted, explicitly configured package index and restrict dependency resolution to approved sources.
- Review and update pinned dependencies through a controlled process that includes vulnerability scanning and integrity verification.
- Require explicit user approval before an agent installs or upgrades third-party packages.
- Where practical, isolate document conversion and rasterization inside a sandbox or container with minimal filesystem and network permissions.
