T08 · Insecure Dependencies
Note
- Location
- SKILL.md:98
- Finding
- Unpinned Third-Party Dependency Installation## Vulnerability Details **File Location**: `SKILL.md`, line 98 **Vulnerability Type**: Unpinned third-party dependencies **Risk Level**: Low **Relevant Code Snippet**: ```bash pip3 install requests beautifulsoup4 ``` ### Technical Analysis The installation instructions request third-party packages without specifying exact versions or validating package hashes. Consequently, the installed code depends on whichever package versions the configured Python package index serves at installation time. The listed package names are established packages, and the audited project contains no evidence that they are currently malicious. However, the absence of version constraints and integrity verification creates a supply-chain weakness: future incompatible or compromised releases, a compromised package-maintainer account, or an untrusted package-index configuration could cause users to install code that was not reviewed with this skill. Python package installation can execute package build hooks and other installation logic. Installed packages also execute code when imported. In this project, `beautifulsoup4` is imported by `scripts/fetch_news.py`, so a compromised installed release could execute when article parsing is invoked. ### Attack Path 1. A user follows the dependency installation command documented in `SKILL.md`. 2. `pip3` resolves the latest available versions from the user's configured package index because no versions or hashes are specified. 3. An attacker would first need to compromise an upstream package release, its publishing account, or the package index used by the victim. 4. The user installs the attacker-controlled distribution. 5. Malicious code executes during package installation or later when the dependency is imported. This is a conditional supply-chain attack path. No malicious dependency or direct remote payload execution was identified in the audited files. ### Impact Assessment A compromised d ...[truncated 440 chars]
- Remediation
- ## Remediation Suggestions 1. Declare dependencies in a dedicated lock or requirements file using reviewed, exact versions, for example: ```text requests==<reviewed-version> beautifulsoup4==<reviewed-version> ``` 2. Generate and require cryptographic hashes for all distributions: ```bash python3 -m pip install --require-hashes -r requirements.txt ``` 3. Review pinned releases before updating them and use automated dependency vulnerability scanning. 4. Install dependencies inside an isolated virtual environment rather than into the system Python environment. 5. Avoid running package installation as `root` or with `sudo`. 6. Remove `requests` from the installation instructions if it is not required by the final implementation; the audited script does not import it. 7. Document the trusted package index explicitly where deployment environments may use custom or mirrored indexes.