T08 · Insecure Dependencies
Warning
- Location
- README.md:131
- Finding
- Unpinned Third-Party Dependencies Installed from a Mutable Package Index## Vulnerability Details **File Location**: `README.md`, lines 131-135 **Vulnerability Type**: Unpinned third-party dependency installation **Risk Level**: Medium ### Vulnerable Code ```markdown ## 🔧 Dependencies - Python 3.x - pandas - openpyxl Install dependencies: ```bash pip install pandas openpyxl ``` ``` ### Technical Analysis The documented installation command retrieves `pandas` and `openpyxl` without version constraints, package hashes, or a reviewed lock file. Package resolution therefore depends on the latest versions available through the Python package index configured in the user's environment. This creates a supply-chain risk because the installed code can differ between installations and can change after the skill has been reviewed. If a package release, maintainer account, configured mirror, or package-index connection is compromised, following the documented command could install attacker-controlled code. This finding does not establish that the named packages are currently malicious. The vulnerability is the absence of controls that guarantee the identity and integrity of the dependencies being installed. ### Attack Path 1. An attacker compromises a dependency maintainer account, package-index infrastructure, or a package mirror configured in the user's Python environment. 2. The attacker publishes or serves a malicious version of `pandas`, `openpyxl`, or one of their transitive dependencies. 3. A user follows the README and runs: ```bash pip install pandas openpyxl ``` 4. `pip` resolves and downloads the attacker-controlled package because no approved versions or hashes are specified. 5. Malicious package installation or subsequently imported package code executes with the privileges of the user running the installation or analysis script. ### Impact Assessment Successful exploitation could provide arbitrary code execution under the installing user's account. Depending on that account's permissions, an attacker could ...[truncated 907 chars]
- Remediation
- ## Remediation Suggestions 1. Pin every direct dependency to a reviewed version, for example: ```text pandas==REVIEWED_VERSION openpyxl==REVIEWED_VERSION ``` 2. Generate a lock file that includes all transitive dependencies. 3. Record cryptographic hashes and install with hash verification: ```bash python -m pip install --require-hashes -r requirements.txt ``` 4. Review and regenerate dependency pins on a controlled schedule rather than resolving mutable latest versions during installation. 5. Recommend installation in a dedicated virtual environment using a non-privileged account: ```bash python -m venv .venv . .venv/bin/activate python -m pip install --require-hashes -r requirements.txt ``` 6. Use a trusted internal package mirror or repository allowlist where appropriate, and apply dependency vulnerability monitoring to the locked dependency set.