T08 · Insecure Dependencies
Warning
- Location
- SKILL.md:16
- Finding
- Unpinned Third-Party Package Installation## Vulnerability Details **File Location**: `SKILL.md`, lines 16–19 **Vulnerability Type**: Unpinned package installation from a mutable package index **Risk Level**: Medium ```bash 1. **安装 nlm CLI** ```bash pip install notebooklm-mcp-cli ``` ``` ### Technical Analysis The skill directs users or agents to install `notebooklm-mcp-cli` without specifying an exact version, package hashes, a lock file, or an approved package index. As a result, the installed package and its transitive dependencies can change after this skill has been reviewed. Python package installation can execute package-controlled build and installation logic. If the package, its maintainer account, the selected package index, or a transitive dependency is compromised, installation may execute attacker-controlled code with the privileges of the user running `pip`. This finding concerns supply-chain integrity. The audited files contain no evidence that the named package is currently malicious. ### Attack Path 1. An attacker compromises the package, a maintainer account, the configured package index, or a transitive dependency. 2. The attacker publishes a malicious release that remains compatible with the unpinned package name. 3. A user or agent follows the skill instructions and runs `pip install notebooklm-mcp-cli`. 4. Pip resolves the mutable package and dependency versions from the active index. 5. Malicious build, installation, or runtime code executes locally. 6. The code operates with the installing user's privileges and may access files, environment variables, credentials, and agent data available to that account. ### Impact Assessment Successful exploitation could permit arbitrary code execution under the installing user's account. The accessible scope may include local documents, environment variables, NotebookLM authentication material, OpenClaw data, and other credentials readable by that user. System-wide impact is possible if installation is performed with adminis ...[truncated 87 chars]
- Remediation
- ## Remediation Suggestions 1. Pin the dependency to an exact, reviewed version: ```bash python -m pip install notebooklm-mcp-cli==<reviewed-version> ``` 2. Use a requirements or lock file containing cryptographic hashes, and install with hash verification: ```bash python -m pip install --require-hashes -r requirements.txt ``` 3. Pin and verify all transitive dependencies rather than relying only on a top-level version constraint. 4. Configure an explicitly approved package index and prevent unintended fallback to untrusted indexes. 5. Install the CLI in a dedicated virtual environment or other isolated runtime under a non-administrative account. 6. Review package provenance, release signatures where available, maintainer history, and dependency changes before updating the pinned version. 7. Integrate dependency vulnerability and integrity scanning into the release process.