T08 · Insecure Dependencies
Warning
- Location
- requirements.txt:1
- Finding
- Unpinned and Unverified Third-Party Dependencies## Vulnerability Details **File Location**: `requirements.txt`, lines 1–4 **Additional Locations**: `SKILL.md`, lines 32–35; `README.md`, lines 11–14 **Vulnerability Type**: Unpinned dependency versions and missing integrity verification **Risk Level**: Medium ### Complete Code Snippet ```text pydantic>=2.0 pyyaml>=6.0 typer>=0.9 rich>=13.0 ``` The installation documentation also instructs users to install unconstrained latest versions: ```bash pip install pydantic pyyaml typer rich ``` ### Technical Analysis All dependencies use open-ended lower-bound constraints, and the documented installation command contains no version constraints. Neither installation method verifies package hashes. Consequently, two installations performed at different times can resolve to different package versions that were not part of this audit. Python package installation may execute package build or installation logic. If an allowed future release or its transitive dependency is compromised, attacker-controlled code could run during installation or when the package is imported. This is a supply-chain weakness rather than evidence that the currently named packages are malicious. ### Attack Path 1. An attacker compromises a dependency publisher account, release pipeline, or relevant transitive dependency. 2. The attacker publishes a malicious version satisfying the open-ended constraint. 3. A user follows the documented installation command or installs from `requirements.txt`. 4. The package resolver selects the compromised release because no exact reviewed version is required. 5. Malicious build, installation, or import-time code executes in the user's environment. ### Impact Assessment Exploitation could execute arbitrary code with the privileges of the user performing installation or running the Skill. Depending on those privileges, this may permit access to local files, environment variables, credentials available to the process, and other user-accessible resources. ...[truncated 150 chars]
- Remediation
- ## Remediation Suggestions 1. Pin every direct dependency to an exact reviewed version instead of using lower bounds. 2. Generate and commit a reproducible lock file that includes transitive dependencies. 3. Record cryptographic hashes for approved artifacts and enforce them during installation, for example: ```bash python -m pip install --require-hashes -r requirements.txt ``` 4. Update `README.md` and `SKILL.md` so their installation commands use the reviewed lock or hashed requirements file rather than unconstrained package names. 5. Perform dependency updates through a controlled review process with vulnerability scanning and automated tests. 6. Install dependencies in an isolated virtual environment under a non-privileged account. 7. Where practical, configure package installation to use an approved index and binary wheels from trusted sources.