T08 · Insecure Dependencies
Warning
- Location
- SKILL.md:24
- Finding
- Unpinned Third-Party Dependencies## Vulnerability Details **File Location**: `SKILL.md:24` and `references/使用说明.md:14` **Vulnerability Type**: Supply-chain exposure through unpinned dependencies **Risk Level**: Medium ### Vulnerable Code `SKILL.md:24`: ```bash pip install requests pytz lxml ``` `references/使用说明.md:14`: ```bash pip install requests pytz lxml ``` ### Technical Analysis The installation instructions retrieve the latest available versions of `requests`, `pytz`, and `lxml` without version constraints or package integrity hashes. Consequently, the installed code can change after the Skill has been reviewed. The packages are legitimate and there is no evidence that the project intentionally specifies a malicious dependency. Nevertheless, an upstream package or package-distribution account compromise could cause users following these instructions to install an unsafe release. Dependency hashes are especially important because package installation can execute build-related code, while imported packages execute with the privileges of the Python process at runtime. ### Attack Path 1. An attacker compromises an upstream dependency release or its package-distribution account. 2. The attacker publishes a malicious version under one of the dependency names. 3. A user follows the documented unpinned `pip install` command. 4. Package resolution selects the compromised version. 5. Malicious code executes during installation, import, or subsequent script execution under the user's account. ### Impact Assessment Successful exploitation could provide arbitrary code execution with the privileges of the user running `pip` or the script. This may permit access to that user's files, environment variables, network credentials, and network resources. If the installation command is run with elevated privileges, the impact could extend to system-wide compromise, although this project does not instruct users to elevate privileges.
- Remediation
- ## Remediation Suggestions - Add a reviewed dependency file containing exact versions. - Generate and verify cryptographic hashes for every package and transitive dependency. - Install dependencies with hash enforcement, for example: ```bash python -m pip install --require-hashes -r requirements.txt ``` - Use an isolated virtual environment rather than the system Python environment. - Periodically review pinned versions for security updates and update them through a controlled process. - Keep both documentation files synchronized with the hardened installation procedure.