T08 · Insecure Dependencies
Note
- Location
- SKILL.md:56
- Finding
- Unpinned Third-Party Dependency Installation<![CDATA[ ## Vulnerability Details **File Location**: `SKILL.md:56-59` **Vulnerability Type**: Unpinned third-party dependency **Risk Level**: Low ### Complete Code Snippet ```markdown **Requirements**: ```bash pip install requests ``` ``` ### Technical Analysis The installation instructions retrieve the latest available version of `requests` and its transitive dependencies without a version constraint, lock file, or integrity hash. Consequently, the code installed in the user's environment depends on mutable package-index state rather than a reviewed dependency set. The package name is legitimate and the project does not use an untrusted package repository, dependency-confusion namespace, or apparent typosquatting package. The risk therefore arises from insufficient supply-chain reproducibility rather than evidence of an intentionally malicious dependency. ### Attack Path 1. An attacker compromises a future `requests` release, one of its transitive dependencies, or the package-distribution infrastructure. 2. A user follows the documented `pip install requests` instruction after the compromised release becomes the selected version. 3. `pip` downloads and installs the altered package or dependency. 4. Malicious installation hooks or imported runtime code execute with the permissions of the user or environment running the Skill. ### Impact Assessment Successful exploitation could execute arbitrary Python code under the account installing or running the Skill. This could expose files, environment variables, GitHub credentials, and other resources accessible to that account. The project itself does not request elevated privileges, so the attainable scope is limited to the privileges of the affected Python environment and operating-system user. ]]>
- Remediation
- <![CDATA[ ## Remediation Suggestions 1. Declare dependencies in a version-controlled requirements or lock file. 2. Pin `requests` and all transitive dependencies to reviewed versions. 3. Record package hashes and install with hash verification, for example: ```bash python -m pip install --require-hashes -r requirements.txt ``` 4. Generate dependency locks from a trusted package index and review updates before merging them. 5. Run dependency vulnerability and provenance checks in CI. 6. Document the supported Python version and periodically update pins so security fixes are not indefinitely blocked. ]]>