T08 · Insecure Dependencies
Warning
- Location
- SKILL.md:24
- Finding
- Unpinned Third-Party Alibaba Cloud SDK Dependencies## Vulnerability Details **File Location**: `SKILL.md:24-27` **Vulnerability Type**: Unpinned third-party dependencies **Risk Level**: Medium ### Vulnerable Code ```bash python3 -m venv .venv . .venv/bin/activate python -m pip install -U alibabacloud_pts20201020 alibabacloud_tea_openapi ``` A matching installation recommendation is also embedded in the runtime error at `scripts/_pts_client.py:28-30`: ```python raise RuntimeError( "Missing SDK dependencies. Install with: " "python -m pip install -U alibabacloud_pts20201020 alibabacloud_tea_openapi" ) from exc ``` ### Technical Analysis The installation command uses `-U` and does not pin reviewed package versions, constrain transitive dependencies, verify artifact hashes, or use a lock file. Consequently, the code installed by this instruction can change after the Skill has been audited. This does not establish that the named Alibaba Cloud packages are malicious. The vulnerability is the mutable and insufficiently verified supply-chain trust boundary. If one of the packages, its transitive dependencies, or the package distribution account were compromised, a user following the documented command could install attacker-controlled code. The imported SDK executes in the same Python process as the Skill scripts. It can therefore access the Alibaba Cloud access key, secret, and optional security token read from the environment by `scripts/_pts_client.py`. ### Attack Path 1. An attacker compromises an upstream package release, maintainer account, distribution pipeline, or transitive dependency. 2. A malicious release is published under a package name used by the documented installation command. 3. A user follows the command containing `pip install -U`, causing pip to select the latest compatible release. 4. Attacker-controlled code executes during package installation or when the SDK is imported. 5. The malicious code reads process environment variabl ...[truncated 791 chars]
- Remediation
- ## Remediation Suggestions 1. Replace floating dependency installation with exact, reviewed versions. 2. Pin all transitive dependencies in a lock file or fully resolved requirements file. 3. Record and enforce package hashes, for example: ```bash python -m pip install --require-hashes -r requirements.txt ``` 4. Remove `-U` from routine setup instructions so an already reviewed environment is not silently upgraded. 5. Ensure the runtime error in `scripts/_pts_client.py:28-30` points to the same locked installation procedure rather than recommending unconstrained packages. 6. Obtain packages only from an approved index and document package provenance. 7. Review dependency updates before regenerating hashes and releasing a new Skill version. 8. Continue using a dedicated virtual environment and least-privilege, preferably short-lived Alibaba Cloud credentials.