T08 · Insecure Dependencies
Warning
- Location
- SKILL.md:149
- Finding
- Unpinned Third-Party OpenAI Dependency## Vulnerability Details **File Location**: `SKILL.md:149` **Vulnerability Type**: Unpinned third-party dependency **Risk Level**: Medium ### Vulnerable Code Snippet ```markdown - `openai` (OpenAI-compatible SDK, installed through `pip install openai`) ``` The executable script imports and relies on this externally installed package: ```python try: import openai except ImportError: print( json.dumps({ "error": "DEPENDENCY_MISSING", "message": "The 'openai' package is required but not installed.", "guide": "Please install it manually: pip install openai", }, ensure_ascii=False, indent=2) ) sys.exit(1) ``` ### Technical Analysis The installation instructions use `pip install openai` without specifying a reviewed version, lock file, package hash, or other integrity constraint. Consequently, the package version installed by a user can change over time and may differ from the version originally tested with this Skill. This creates a third-party supply-chain risk. If the package distribution channel or a future package release is compromised, malicious installation or runtime code could execute with the permissions of the user running the Skill. The absence of version constraints may also introduce incompatible API changes that alter security-sensitive behavior. The audit did not find evidence that the current `openai` package is malicious. The vulnerability is the uncontrolled and mutable dependency resolution process. ### Attack Path 1. An attacker compromises the dependency's package repository account, release process, or another component of its distribution channel. 2. The attacker publishes a malicious release under the legitimate package name. 3. A user follows the documented `pip install openai` instruction without a version or hash constraint. 4. Package installation hooks or malicious runtime code execute when the package is installed or imported. 5. The malicious code accesses ...[truncated 1143 chars]
- Remediation
- ## Remediation Suggestions 1. Pin the dependency to a specific reviewed version rather than installing the latest available release: ```text openai==<reviewed-version> ``` 2. Maintain dependencies in a version-controlled requirements or lock file. 3. Generate and verify cryptographic hashes for all packages, and install them with hash enforcement: ```bash python -m pip install --require-hashes -r requirements.txt ``` 4. Pin transitive dependencies where practical so that the complete dependency graph is reproducible. 5. Install packages only from the official, expected package index and explicitly configure trusted repository sources. 6. Review dependency updates before changing pinned versions, including release notes, package provenance, and security advisories. 7. Run the Skill under a dedicated least-privileged account or isolated environment with access only to the required media and credentials. 8. Avoid exposing unrelated secrets through the process environment when executing the Skill.