T08 · Insecure Dependencies
- Location
SKILL.md:604- Finding
Unpinned Third-Party Dependencies Create Supply-Chain Risk
- Content
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Vulnerability Details
File Locations:
SKILL.md:600-605README.md:20-25
Vulnerability Type: Unpinned third-party dependency installation
Risk Level: MediumVulnerable Code
SKILL.md:600-605:markdown ### Installation ```bash pip install rdflib sparqlwrapper requests pydantictext `README.md:20-25`: ```markdown ### Installation ```bash pip install rdflib sparqlwrappertext ### Technical Analysis The installation instructions request packages by name without specifying reviewed versions, cryptographic hashes, a lockfile, or an explicitly trusted package index. Consequently, package resolution depends on the mutable state of the configured Python package repositories at installation time. Installing a Python package may execute build backends, setup hooks, or package code with the privileges of the user running `pip`. If an upstream dependency is compromised, a malicious release is published, or package-index configuration redirects resolution to an untrusted source, following these instructions can install and execute attacker-controlled code. The `requests` and `pydantic` packages are documented as installation requirements in `SKILL.md`, but the audited connector does not import them. Unnecessary dependencies enlarge the supply-chain attack surface without providing functionality in the current implementation. ### Attack Path 1. An attacker compromises a listed package, its maintainer account, or a package repository used by the victim. 2. The attacker publishes a malicious release that satisfies the unconstrained package name. 3. A user follows the documented `pip install` command. 4. `pip` resolves the malicious or compromised release because no approved version or hash is enforced. 5. Malicious installation or runtime code executes under the installing user's account. 6. Depending on that account's permissions, the payload can access project files, u ...[truncated 826 chars]- Remediation
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Remediation Suggestions
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Pin every direct dependency to a reviewed version, for example:
text rdflib==<reviewed-version> SPARQLWrapper==<reviewed-version> -
Generate a lockfile or requirements file containing cryptographic hashes, and install with hash verification:
bash python -m pip install --require-hashes -r requirements.txt -
Remove
requestsandpydanticfrom the installation instructions unless the implementation actually requires them. -
Use an explicitly trusted package index or an internally controlled package mirror rather than relying on ambient
pipconfiguration. -
Review transitive dependencies and automate vulnerability scanning with tools such as
pip-auditin CI. -
Perform installations in an isolated virtual environment or container under a non-privileged account. Do not install dependencies with administrator or root privileges.
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Keep the commands in
README.mdandSKILL.mdsynchronized with the reviewed lockfile so users do not bypass the pinned dependency set.
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