T08 · Insecure Dependencies
- Location
SKILL.md:361- Finding
Unpinned Third-Party Dependency Installation
- Content
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Vulnerability Details
File Location:
SKILL.md, line 361
Vulnerability Type: Unpinned third-party package installation
Risk Level: MediumComplete Code Snippet:
markdown | Whisper(可选) | Python 库 | 推荐(音频输入) | `pip install openai-whisper` |Technical Analysis
The documented command installs
openai-whisperwithout a fixed version, cryptographic hashes, or a dependency lockfile. As a result,pipresolves the package and its transitive dependencies at installation time. The installed code may therefore differ from the code that was available when this Skill was audited.The package name is consistent with the Skill's stated transcription functionality, and the audit found no evidence of typosquatting or an intentionally malicious source. Nevertheless, dynamically resolving executable third-party components creates a supply-chain exposure: a compromised release, package index, or transitive dependency could introduce malicious installation or runtime code.
Attack Path
- A user follows the dependency instructions and runs
pip install openai-whisper. pipqueries its configured package index and dynamically selects current package and dependency versions.- An attacker compromises a selected package release, transitive dependency, package index, or dependency-resolution path.
- The compromised component is downloaded and installed.
- Malicious installation or runtime code executes with the privileges of the user running
pipor Whisper. - That code can access resources available to the process, potentially including local podcast files, transcripts, environment variables, credentials, and other user-accessible data.
Impact Assessment
Successful exploitation could result in arbitrary code execution under the installing user's account. The accessible scope would be limited by that account and its environment but could include:
- Reading or modifying local podcast audio ...[truncated 492 chars]
- A user follows the dependency instructions and runs
- Remediation
View remediation
Remediation Suggestions
- Pin
openai-whisperand all transitive dependencies to reviewed versions through a lockfile. - Publish cryptographic hashes for every resolved artifact and install with
pip install --require-hashes. - Explicitly identify a trusted package index rather than relying on unspecified local
pipconfiguration. - Require installation in a dedicated virtual environment or container running without elevated privileges.
- Review and periodically update pinned dependencies using vulnerability and provenance scanning.
- Prefer binary or source artifacts with verifiable provenance and signatures when available.
- Replace the current generic command with a reproducible installation procedure, for example:
bash python -m venv .venv . .venv/bin/activate python -m pip install --require-hashes -r requirements.txt - Warn users not to run package installation with
sudo, as an administrator, or from an account with unnecessary access to sensitive files.
- Pin