T08 · Insecure Dependencies
- Location
README.md:12- Finding
Unpinned Third-Party Dependencies Allow Mutable Supply-Chain Resolution
- Content
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Vulnerability Details
File Location:
README.md:12-14
Vulnerability Type: Unpinned third-party dependency installation
Risk Level: LowVulnerable Code
bash pip install "typer[all]" pydanticTechnical Analysis
The documented installation command resolves the latest available versions of
typer, the dependencies included by itsallextra, andpydantic. The project provides no lockfile, exact version constraints, package hashes, or trusted-index configuration.Consequently, the dependency graph installed by a user can differ from the graph reviewed during this audit. If a future direct or transitive dependency release is compromised, malicious package code could execute during installation or when
neko.pyimports the affected package.This is a supply-chain hardening weakness rather than evidence that the currently named packages are malicious. No dependency confusion, typosquatting, or malicious package was identified in the audited files.
Attack Path
- An attacker compromises a direct or transitive dependency resolved by the documented command and publishes a malicious release to the configured package index.
- A user follows the README and executes the unpinned
pip installcommand. - Package resolution selects the compromised release because no reviewed version or hash is enforced.
- Attacker-controlled code executes during package installation or when the application imports the compromised dependency.
- The malicious code operates with the permissions of the user running
pipor the application.
Impact Assessment
Successful exploitation could provide access equivalent to the invoking user. Depending on that user's permissions and environment, this may include reading or modifying accessible files, accessing environment variables and credentials, making network connections, or altering the Python environment.
The scope is limited by the privileges and isolat ...[truncated 204 chars]
- Remediation
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Remediation Suggestions
- Declare exact, reviewed dependency versions in a requirements or lock file, including all transitive dependencies.
- Generate and verify cryptographic hashes for every package, then install with:
bash python -m pip install --require-hashes -r requirements.txt - Install dependencies inside a dedicated virtual environment rather than into a global or privileged Python environment.
- Configure an explicitly trusted package index or an internally controlled package mirror.
- Add automated dependency vulnerability and integrity scanning to the release process.
- Periodically update pinned versions through a reviewed process, rerun tests, and regenerate hashes only after validating the new dependency graph.