T08 · Insecure Dependencies
Warning
- Location
- SKILL.md:188
- Finding
- Unpinned Third-Party Python Dependency## Vulnerability Details **File Location**: `SKILL.md:188-192` **Vulnerability Type**: Unpinned dependency installation without integrity verification **Risk Level**: Medium ### Vulnerable Code ```markdown ## Dependencies ``` ```bash pip install openpyxl ``` ```text Node.js QBO client must be authenticated with a valid token. ``` ### Technical Analysis The documented installation command retrieves the currently available `openpyxl` release without specifying an approved version or validating an artifact hash. As a result, installations are not reproducible, and future package releases can introduce unexpected behavior into an environment that processes sensitive QBO-derived financial information. The instruction also does not require a lock file, a trusted package index, or hash verification. If the dependency distribution channel, package maintainer account, local package-index configuration, or network path were compromised, a modified package could be installed without detection. The referenced forecast script and authenticated Node.js QBO client are absent from the audited project, so their dependency handling and treatment of QBO credentials could not be verified. ### Attack Path 1. An attacker compromises a dependency release, package publishing account, configured Python package index, or package delivery path. 2. A user follows the documented `pip install openpyxl` instruction. 3. `pip` resolves and installs the unpinned, unverified artifact. 4. Malicious package installation or runtime code executes with the privileges of the user running the command. 5. If the forecast workflow is subsequently run in the same environment, the compromised component may access financial data, generated workbooks, local files available to that user, or credentials exposed to the process. ### Impact Assessment Successful exploitation would execute code with the privileges of the user performing the installation or running the forecast workflow. The potential s ...[truncated 473 chars]
- Remediation
- ## Remediation Suggestions 1. Pin `openpyxl` to a reviewed, exact version in a dependency manifest: ```text openpyxl==REVIEWED_VERSION ``` 2. Generate and verify cryptographic hashes for all transitive dependencies: ```bash python3 -m pip install --require-hashes -r requirements.txt ``` 3. Use a lock file produced by a dependency-management tool such as `pip-tools`, Poetry, or uv. 4. Explicitly configure the official trusted package index and prevent unintended fallback to private or untrusted indexes. 5. Install dependencies inside an isolated virtual environment using a non-privileged account. 6. Add automated dependency vulnerability and provenance checks to the release process. 7. Include the referenced forecast script and its dependency manifests in the reviewable package so its QBO credential handling, file operations, and transitive dependencies can be audited.