T08 · Insecure Dependencies
Note
- Location
- SKILL.md:263
- Finding
- Unpinned Third-Party Dependency Installation<![CDATA[ ## Vulnerability Details **File Location**: `SKILL.md`, lines 263-266 **Vulnerability Type**: Unpinned dependency and non-reproducible installation **Risk Level**: Low ### Evidence ```markdown ## Dependencies ```bash pip install openpyxl # Node.js QBO client must be configured with valid auth tokens ``` ``` ### Technical Analysis The documented installation command retrieves the latest available `openpyxl` release without specifying a reviewed version, lockfile, package hash, or explicit trusted package index. Consequently, the dependency resolved during installation may change over time and cannot be reliably matched to the version reviewed by the project maintainer. This is a software supply-chain weakness rather than evidence that `openpyxl` itself is malicious. Exploitation would require compromise of the dependency's distribution channel, publication of a compromised future release, manipulation of the configured Python package index, or a related package-resolution attack. The artifact contains only `SKILL.md`; the referenced `scripts/pipelines/budget-builder.py` implementation is absent. Therefore, dependency use and runtime safeguards could not be independently verified. ### Attack Path 1. An attacker compromises a future dependency release, the package distribution channel, or a package index configured in the user's environment. 2. A user follows the documented `pip install openpyxl` command. 3. `pip` resolves and installs the attacker-controlled or compromised release because no reviewed version or integrity hash is enforced. 4. Malicious dependency code executes during installation or when imported by the budget pipeline. 5. The code runs with the privileges of the invoking user and may access data and credentials available to that process. ### Impact Assessment Successful exploitation could permit arbitrary code execution with the invoking user's privileges. Depending on the runtime environment, this may expose locally accessibl ...[truncated 373 chars]
- Remediation
- <![CDATA[ ## Remediation Suggestions 1. Pin `openpyxl` to a specifically reviewed version rather than installing the latest release implicitly. 2. Manage dependencies through a committed lockfile or a fully pinned requirements file. 3. Record and enforce cryptographic hashes, such as with `pip install --require-hashes -r requirements.txt`. 4. Configure an explicit trusted package index and prevent unintended fallback to untrusted or internally shadowed indexes. 5. Use an isolated virtual environment and run the pipeline with the minimum filesystem and credential access required. 6. Add automated dependency vulnerability and integrity scanning to the release process. 7. Include the referenced implementation in the auditable package so its dependency use, QBO credential handling, input validation, and cache protections can be reviewed. ]]>