T08 · Insecure Dependencies
Warning
- Location
- SKILL.md:59
- Finding
- Unpinned Third-Party Python Dependencies## Vulnerability Details **File Location**: `SKILL.md`, line 59 **Vulnerability Type**: Unpinned and non-reproducible dependency installation **Risk Level**: Medium ### Vulnerable Code ```markdown - 依赖: `pip install selenium pandas openpyxl flask requests` ``` ### Technical Analysis The installation command retrieves five third-party packages without exact version constraints, integrity hashes, or a reviewed lockfile. Package resolution is therefore mutable: the versions installed depend on what the package index serves at installation time. This creates a supply-chain risk because a newly compromised, malicious, or vulnerable release could be selected automatically. Python packages may execute package-controlled code during installation or when imported by the application. The project does not provide a requirements file, hash verification, or another mechanism to reproduce and authenticate the reviewed dependency set. The audit found no evidence that any named dependency is currently malicious. The vulnerability is the unsafe, unpinned installation process itself. ### Attack Path 1. A user follows the prerequisite documented in `SKILL.md`. 2. The user runs `pip install selenium pandas openpyxl flask requests`. 3. Pip resolves package versions from the configured package index at that moment. 4. A compromised or newly vulnerable package release is selected because no approved version or hash is enforced. 5. Package-controlled code executes during installation or later when the application imports the dependency. 6. That code operates with the privileges and environmental access of the user running pip or the application. ### Impact Assessment Successful exploitation could allow arbitrary code execution with the privileges of the installing or application user. Depending on that user's environment, the affected scope may include local files, browser or application data accessible to the account, environment variables, network credentials, and outbound ...[truncated 455 chars]
- Remediation
- ## Remediation Suggestions 1. Create a dependency manifest containing reviewed, exact package versions. 2. Generate and commit a lockfile with cryptographic hashes for every direct and transitive dependency. 3. Install dependencies with hash enforcement, for example: ```bash python -m pip install --require-hashes -r requirements.txt ``` 4. Use a dedicated virtual environment and avoid installing dependencies as an administrator or root user. 5. Configure pip to use an explicitly trusted package index and prohibit unexpected extra indexes to reduce dependency-confusion exposure. 6. Continuously scan locked dependencies for known vulnerabilities and update them through a reviewed change process. 7. Include the referenced application source code in the project so its imports, cookie handling, network destinations, file operations, and dependency usage can be audited.