T08 · Insecure Dependencies
- Location
SKILL.md:16- Finding
Unpinned DashScope Dependency Installation
- Content
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Vulnerability Details
File Location:
SKILL.md, lines 16-20
Vulnerability Type:T08: Insecure Dependencies
Risk Level: MediumVulnerable Code Snippet:
bash - Install SDK (virtual environment recommended to avoid PEP 668 restrictions): ```bash python3 -m venv .venv . .venv/bin/activate python -m pip install dashscopetext ### Technical Analysis The Skill instructs users to install `dashscope` without specifying an audited version, a lockfile, or package hashes. Consequently, package resolution may select a release that differs from the version originally reviewed or tested. Python package installation can execute package-controlled build or installation logic. If the package, one of its transitive dependencies, or the configured package index is compromised, invoking this instruction could execute attacker-controlled code with the permissions of the user running the Skill. The recommended virtual environment reduces contamination of system Python packages but does not isolate installation-time code from the user's files, credentials, network access, or other resources available to the Python process. No evidence establishes that the current `dashscope` package is malicious. The finding concerns the unsafe, non-reproducible dependency installation procedure and the supply-chain attack opportunity it creates. ### Attack Path 1. An attacker compromises a future `dashscope` release, a transitive dependency, or a package index used by the local Python configuration. 2. A user follows the Skill instruction and runs `python -m pip install dashscope`. 3. `pip` resolves the unrestricted dependency to the compromised distribution. 4. Malicious build or installation logic executes under the invoking user's account. 5. The payload can access resources available to that account, potentially including `DASHSCOPE_API_KEY`, `~/.alibabacloud/credentials`, project files, and netwo ...[truncated 720 chars]- Remediation
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Remediation Suggestions
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Pin
dashscopeto a specifically reviewed version rather than installing the latest available release:bash python -m pip install "dashscope==<reviewed-version>" -
Maintain a lockfile or requirements file containing exact versions for
dashscopeand all transitive dependencies. -
Generate and verify cryptographic hashes, then install with hash enforcement:
bash python -m pip install --require-hashes -r requirements.txt -
Document and enforce a trusted package index instead of inheriting arbitrary user-level index configuration.
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Periodically audit pinned dependencies and update them through a controlled review process.
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Continue using a virtual environment, but clarify that it does not sandbox installation-time code.
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Run dependency installation and API validation in a disposable, minimally privileged environment with access only to the credentials and files required for the test.
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Ensure API keys are injected only for the API execution stage and are not exposed to dependency installation when operationally feasible.
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