T08 · Insecure Dependencies
Warning
- Location
requirements.txt:1- Finding
Unbounded Third-Party Dependency Versions
- Content
View full analysis
=2.28.0 python-dotenv>=1.0.0 ``` The documented installation procedure executes: ```bash pip install -r requirements.txt ``` ### Technical Analysis Both dependencies use minimum-version constraints without upper bounds, exact version pins, or package integrity hashes. Consequently, each installation can resolve to a different dependency version selected from the configured Python package index. This does not demonstrate that either current dependency is malicious. However, it creates a supply-chain trust weakness: a compromised future release, maliciously modified package-index response, or incompatible upstream update could be installed without any corresponding change to the reviewed Skill repository. Because Python packages may execute code during installation and are imported at runtime by `tools/scrape.py`, compromise of either dependency could result in arbitrary code execution under the account installing or running the Skill. ### Attack Path 1. An attacker compromises an upstream dependency release, its publishing credentials, or a package source trusted by the environment. 2. The attacker publishes a version satisfying `requests>=2.28.0` or `python-dotenv>=1.0.0`. 3. A user follows the documented `pip install -r requirements.txt` procedure. 4. The resolver selects and installs the compromised version because no exact version or hash is enforced. 5. Malicious package code executes during installation or when imported by `tools/scrape.py`. ### Impact Assessment Successful exploitation could execute arbitrary code with the privileges of the user installing or running the Skill. This could expose the `DECODO_AUTH_TOKEN`, environment variables, accessible files, agent data, and network resources avai ...[truncated 310 chars]- Remediation
View remediation
python-dotenv== ``` 2. Generate a lock file containing transitive dependencies rather than pinning only direct dependencies. 3. Record cryptographic hashes for every permitted distribution and install with: ```bash pip install --require-hashes -r requirements.txt ``` 4. Use a controlled package index or internal artifact mirror where practical. 5. Add automated dependency vulnerability and provenance scanning to the release process. 6. Review and deliberately update locked dependencies on a defined schedule. 7. Avoid installing or running the Skill with administrative privileges. ]]>