T08 · Insecure Dependencies
- Location
SKILL.md:24- Finding
Unpinned Third-Party Python Dependencies
- Content
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Vulnerability Details
File Location:
SKILL.md, line 24
Vulnerability Type: Unpinned and unverified third-party dependencies
Risk Level: MediumVulnerable Code
markdown ## Requirements - Python 3.8+ - Install: pip install requests pyyaml - Matrix tool: https://zmt.scys6688.com/Technical Analysis
The documented installation command installs
requestsandpyyamlwithout version constraints, integrity hashes, a lockfile, or an explicitly trusted package index. Consequently, dependency resolution is mutable and depends on the package index and configuration available when the command is run.If a future package release or configured package index is compromised, the installation may retrieve unreviewed or malicious code. The absence of hashes also prevents
pipfrom verifying that downloaded artifacts match versions reviewed by the project maintainers.Attack Path
- A user follows the installation instruction in
SKILL.md. pipresolves the latest matching distributions from the user's configured package index or mirror.- An attacker compromises a dependency release, package-index account, mirror, or dependency-resolution path.
- The user downloads and installs the attacker-controlled distribution because no reviewed version or artifact hash is enforced.
- Malicious package behavior can execute during installation or when the dependency is imported by downstream code.
This path is conditional on compromise or substitution within the dependency supply chain; the audited repository itself contains no malicious package implementation.
Impact Assessment
Malicious dependency code would ordinarily execute with the privileges of the user or service account running
pipor importing the package. Potential impact includes access to that account's files, environment variables, application credentials, network access, and any browser-account data available to the consu ...[truncated 274 chars]- A user follows the installation instruction in
- Remediation
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Remediation Suggestions
- Pin each dependency to a reviewed version rather than resolving unrestricted latest releases.
- Generate and commit a lockfile or requirements file containing transitive dependency versions.
- Require cryptographic hashes, for example through a hash-locked requirements file and
pip install --require-hashes. - Explicitly configure a trusted package index and avoid untrusted or ambiguously configured mirrors.
- Use automated dependency scanning and update pinned versions through a controlled review process.
- Perform installation in an isolated virtual environment under a non-privileged account.
- Replace the current instruction with a reproducible command referencing the reviewed dependency file, such as:
bash python -m pip install --require-hashes -r requirements.txt
