T08 · Insecure Dependencies
Warning
- Location
- SKILL.md:15
- Finding
- Unpinned Third-Party Package Installation## Vulnerability Details **File Location**: `SKILL.md:15` **Vulnerability Type**: Insecure dependency installation **Risk Level**: Medium ### Vulnerable Code ```bash pip install smooth-py ``` ### Technical Analysis The installation instruction retrieves the latest available release of `smooth-py` from the configured Python package index without an exact version constraint, cryptographic hash verification, lockfile, or reference to a reviewed artifact. Because Python packages can execute package-controlled build or installation logic, the effective code installed by this command may change after the Skill has been audited. A compromised maintainer account, package repository compromise, or malicious future release could therefore turn this documented installation step into arbitrary local code execution. The audit found no evidence that the currently named package is malicious. The finding concerns the unsafe, non-reproducible dependency installation method. ### Attack Path 1. An attacker compromises the package publisher, publishing process, or package repository and releases a malicious version of `smooth-py`. 2. A user follows the prerequisite instructions and runs `pip install smooth-py`. 3. `pip` resolves the unpinned dependency to the attacker-controlled release. 4. Malicious package logic executes during installation, build processing, import, or subsequent CLI invocation. 5. The payload operates with the privileges of the user running `pip` or the installed CLI. ### Impact Assessment Successful exploitation could permit arbitrary code execution under the installing user's account. Depending on that account's permissions and environment, the attacker could access local files, environment variables, API credentials, browser profiles, authenticated session data, and network resources available to the user. System-wide installation with elevated privileges would increase the potential scope. No evidence of persistence, embedded malicious code, s ...[truncated 77 chars]
- Remediation
- ## Remediation Suggestions 1. Pin the dependency to an exact, reviewed version, for example: ```bash python -m pip install "smooth-py==<reviewed-version>" ``` 2. Distribute a requirements or lock file containing cryptographic hashes, and install with hash enforcement: ```bash python -m pip install --require-hashes -r requirements.txt ``` 3. Verify the package's official publisher, source repository, release signatures, and provenance before recommending installation. 4. Prefer installation in an isolated virtual environment with the minimum required operating-system privileges. 5. Establish an update-review process so dependency versions and hashes are changed only after security review. 6. Avoid privileged or system-wide installation unless it is strictly necessary.